default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPaul Newman 0001
Paul M. Newman
Person information
- affiliation: Oxbotica Ltd., UK
- affiliation: University of Oxford
Other persons with the same name
- Paul Newman 0002 — Intel, Hillsboro, OR, USA
- Paul Newman 0003 — Hamworthy Combustion Engineering Limited, Poole, Dorset, UK
- Paul Newman 0004 — University of Cape Town, South Africa
- Paul Newman 0005 — Oak Ridge National Laboratory, TN, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j50]Valentina Musat
, Daniele De Martini, Matthew Gadd, Paul Newman:
NeuralFloors: Conditional Street-Level Scene Generation From BEV Semantic Maps via Neural Fields. IEEE Robotics Autom. Lett. 9(3): 2431-2438 (2024)- [j49]Matthew Gadd, Daniele De Martini, Oliver Bartlett, Paul Murcutt, Matthew Towlson, Matthew Widojo, Valentina Musat, Luke Robinson, Efimia Panagiotaki, Georgi Pramatarov, Marc Alexander Kühn, Letizia Marchegiani, Paul Newman, Lars Kunze:
OORD: The Oxford Offroad Radar Dataset. IEEE Trans. Intell. Transp. Syst. 25(11): 18779-18790 (2024) - [j48]David S. W. Williams, Daniele De Martini, Matthew Gadd, Paul Newman:
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation From Unlabeled Data. IEEE Trans. Robotics 40: 3146-3165 (2024) - [c164]Georgi Pramatarov, Matthew Gadd, Paul Newman, Daniele De Martini:
That's My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation. ICRA 2024: 12276-12282 - [c163]Benjamin Ramtoula, Daniele De Martini, Matthew Gadd, Paul Newman:
VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition. ICRA 2024: 15883-15889 - [c162]David S. W. Williams, Matthew Gadd, Paul Newman, Daniele De Martini:
Masked γ-SSL: Learning Uncertainty Estimation via Masked Image Modeling. ICRA 2024: 16192-16198 - [c161]Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman:
NeuralFloors++: Consistent Street-Level Scene Generation From BEV Semantic Maps. IROS 2024: 12872-12879 - [c160]Jianhao Yuan, Shuyang Sun, Daniel Omeiza, Bo Zhao, Paul Newman, Lars Kunze, Matthew Gadd:
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Multi-Modal Large Language Model Learning. Robotics: Science and Systems 2024 - [i54]Matthew Gadd, Paul Newman:
Open-RadVLAD: Fast and Robust Radar Place Recognition. CoRR abs/2401.15380 (2024) - [i53]Jianhao Yuan, Shuyang Sun, Daniel Omeiza, Bo Zhao, Paul Newman, Lars Kunze, Matthew Gadd:
RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Learning in Multi-Modal Large Language Model. CoRR abs/2402.10828 (2024) - [i52]David S. W. Williams, Matthew Gadd, Paul Newman, Daniele De Martini:
Masked Gamma-SSL: Learning Uncertainty Estimation via Masked Image Modeling. CoRR abs/2402.17622 (2024) - [i51]David S. W. Williams, Daniele De Martini, Matthew Gadd, Paul Newman:
Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data. CoRR abs/2402.17653 (2024) - [i50]Matthew Gadd, Daniele De Martini, Oliver Bartlett, Paul Murcutt, Matthew Towlson, Matthew Widojo, Valentina Musat, Luke Robinson, Efimia Panagiotaki, Georgi Pramatarov, Marc Alexander Kühn, Letizia Marchegiani, Paul Newman, Lars Kunze:
OORD: The Oxford Offroad Radar Dataset. CoRR abs/2403.02845 (2024) - [i49]Georgi Pramatarov, Matthew Gadd, Paul Newman, Daniele De Martini:
That's My Point: Compact Object-centric LiDAR Pose Estimation for Large-scale Outdoor Localisation. CoRR abs/2403.04755 (2024) - [i48]Benjamin Ramtoula, Daniele De Martini, Matthew Gadd, Paul M. Newman:
VDNA-PR: Using General Dataset Representations for Robust Sequential Visual Place Recognition. CoRR abs/2403.09025 (2024) - [i47]Matthew Gadd, Daniele De Martini, Luke Pitt, Wayne Tubby, Matthew Towlson, Chris Prahacs, Oliver Bartlett, John Jackson, Man Qi, Paul Newman, Andrew Hector, Roberto Salguero-Gómez, Nick Hawes:
Watching Grass Grow: Long-term Visual Navigation and Mission Planning for Autonomous Biodiversity Monitoring. CoRR abs/2404.10446 (2024) - 2023
- [j47]Tim Yuqing Tang, Daniele De Martini, Paul Newman:
Point-based metric and topological localisation between lidar and overhead imagery. Auton. Robots 47(5): 595-615 (2023) - [c159]Benjamin Ramtoula, Matthew Gadd, Paul Newman, Daniele De Martini:
Visual DNA: Representing and Comparing Images Using Distributions of Neuron Activations. CVPR 2023: 11113-11123 - [c158]Jianhao Yuan, Paul Newman, Matthew Gadd:
Off the Radar: Uncertainty-Aware Radar Place Recognition with Introspective Querying and Map Maintenance. IROS 2023: 1350-1357 - [c157]Luke Robinson, Daniele De Martini, Matthew Gadd, Paul Newman:
Visual Servoing on Wheels: Robust Robot Orientation Estimation in Remote Viewpoint Control. IROS 2023: 6364-6370 - [c156]Luke Robinson, Matthew Gadd, Paul Newman, Daniele De Martini:
Robot-Relay: Building-Wide, Calibration-Less Visual Servoing with Learned Sensor Handover Networks. ISER 2023: 129-140 - [c155]Matthew Gadd, Benjamin Ramtoula, Daniele De Martini, Paul Newman:
What You See Is What You Get: Experience Ranking with Deep Neural Dataset-to-Dataset Similarity for Topological Localisation. ISER 2023: 595-607 - [c154]Fraser Rennie, David S. W. Williams, Paul Newman, Daniele De Martini:
Doppler-Aware Odometry from FMCW Scanning Radar. ITSC 2023: 5126-5132 - [c153]Tim Y. Tang, Daniele De Martini, Paul M. Newman:
Self-Supervised Lidar Place Recognition in Overhead Imagery Using Unpaired Data. Robotics: Science and Systems 2023 - [i46]Benjamin Ramtoula, Matthew Gadd, Paul Newman, Daniele De Martini:
Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations. CoRR abs/2304.10036 (2023) - [i45]Jianhao Yuan, Paul Newman, Matthew Gadd:
Off the Radar: Uncertainty-Aware Radar Place Recognition with Introspective Querying and Map Maintenance. CoRR abs/2306.12556 (2023) - [i44]Luke Robinson, Daniele De Martini, Matthew Gadd, Paul Newman:
Visual Servoing on Wheels: Robust Robot Orientation Estimation in Remote Viewpoint Control. CoRR abs/2306.14848 (2023) - [i43]Fraser Rennie, David S. W. Williams, Paul Newman, Daniele De Martini:
Doppler-aware Odometry from FMCW Scanning Radar. CoRR abs/2308.10597 (2023) - [i42]Matthew Gadd, Benjamin Ramtoula, Daniele De Martini, Paul Newman:
What you see is what you get: Experience ranking with deep neural dataset-to-dataset similarity for topological localisation. CoRR abs/2310.13622 (2023) - [i41]Luke Robinson, Matthew Gadd, Paul Newman, Daniele De Martini:
Robot-Relay : Building-Wide, Calibration-Less Visual Servoing with Learned Sensor Handover Network. CoRR abs/2310.15677 (2023) - 2022
- [j46]Michael Tanner, Pedro Piniés, Lina María Paz, Stefan Saftescu, Alex Bewley, Emil T. Jonasson, Paul Newman:
Large-scale outdoor scene reconstruction and correction with vision. Int. J. Robotics Res. 41(6): 637-663 (2022) - [j45]Roberto Aldera, Matthew Gadd, Daniele De Martini, Paul Newman:
What Goes Around: Leveraging a Constant-Curvature Motion Constraint in Radar Odometry. IEEE Robotics Autom. Lett. 7(3): 7865-7872 (2022) - [j44]Letizia Marchegiani, Paul Newman:
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes. IEEE Trans. Intell. Transp. Syst. 23(10): 17087-17096 (2022) - [c152]Rob Weston, Matthew Gadd, Daniele De Martini, Paul Newman, Ingmar Posner:
Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry. ICRA 2022: 2186-2192 - [c151]Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman:
Depth-SIMS: Semi-Parametric Image and Depth Synthesis. ICRA 2022: 2388-2394 - [c150]Georgi Pramatarov, Daniele De Martini, Matthew Gadd, Paul Newman:
BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR. IROS 2022: 7004-7011 - [i40]Rob Weston, Matthew Gadd, Daniele De Martini, Paul Newman, Ingmar Posner:
Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry. CoRR abs/2203.00459 (2022) - [i39]Valentina Musat, Daniele De Martini, Matthew Gadd, Paul Newman:
Depth-SIMS: Semi-Parametric Image and Depth Synthesis. CoRR abs/2203.03405 (2022) - [i38]Roberto Aldera, Matthew Gadd, Daniele De Martini, Paul Newman:
What Goes Around: Leveraging a Constant-curvature Motion Constraint in Radar Odometry. CoRR abs/2206.10517 (2022) - [i37]Georgi Pramatarov, Daniele De Martini, Matthew Gadd, Paul Newman:
BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR. CoRR abs/2206.15154 (2022) - 2021
- [j43]Stefan Saftescu, Matthew Gadd, Paul Newman:
Look Here: Learning Geometrically Consistent Refinement of Inverse-Depth Images for 3D Reconstruction. Int. J. Pattern Recognit. Artif. Intell. 35(16): 2160015:1-2160015:35 (2021) - [j42]Tim Y. Tang, Daniele De Martini, Shangzhe Wu, Paul Newman:
Self-supervised learning for using overhead imagery as maps in outdoor range sensor localization. Int. J. Robotics Res. 40(12-14): 1488-1509 (2021) - [c149]Matthew Gadd, Daniele De Martini, Paul Newman:
Contrastive Learning for Unsupervised Radar Place Recognition. ICAR 2021: 344-349 - [c148]Valentina Musat, Ivan Fursa, Paul Newman, Fabio Cuzzolin, Andrew Bradley:
Multi-weather city: Adverse weather stacking for autonomous driving. ICCVW 2021: 2906-2915 - [c147]David S. W. Williams, Matthew Gadd, Daniele De Martini, Paul M. Newman:
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning. ICRA 2021: 9536-9542 - [c146]Tarlan Suleymanov, Matthew Gadd, Daniele De Martini, Paul Newman:
The Oxford Road Boundaries Dataset. IV Workshops 2021: 222-227 - [c145]Tim Y. Tang, Daniele De Martini, Paul Newman:
Get to the Point: Learning Lidar Place Recognition and Metric Localisation Using Overhead Imagery. Robotics: Science and Systems 2021 - [c144]Stefan Saftescu, Paul Newman:
Learning to Correct Reconstructions from Multiple Views. VISIGRAPP (5: VISAPP) 2021: 901-909 - [i36]David S. W. Williams, Matthew Gadd, Daniele De Martini, Paul Newman:
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning. CoRR abs/2103.00869 (2021) - [i35]Matthew Gadd, Daniele De Martini, Paul Newman:
Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos. CoRR abs/2106.06703 (2021) - [i34]Tarlan Suleymanov, Matthew Gadd, Daniele De Martini, Paul Newman:
The Oxford Road Boundaries Dataset. CoRR abs/2106.08983 (2021) - [i33]Matthew Gadd, Daniele De Martini, Paul Newman:
Contrastive Learning for Unsupervised Radar Place Recognition. CoRR abs/2110.02744 (2021) - 2020
- [j41]Tim Yuqing Tang, Daniele De Martini, Dan Barnes, Paul Newman:
RSL-Net: Localising in Satellite Images From a Radar on the Ground. IEEE Robotics Autom. Lett. 5(2): 1087-1094 (2020) - [j40]Daniele De Martini, Matthew Gadd, Paul Newman:
kRadar++: Coarse-to-Fine FMCW Scanning Radar Localisation. Sensors 20(21): 6002 (2020) - [c143]Simon Chadwick, Paul Newman:
Radar as a Teacher: Weakly Supervised Vehicle Detection using Radar Labels. ICRA 2020: 222-228 - [c142]Stefan Saftescu, Matthew Gadd, Daniele De Martini, Dan Barnes, Paul Newman:
Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning. ICRA 2020: 4358-4364 - [c141]Dan Barnes, Matthew Gadd, Paul Murcutt, Paul Newman, Ingmar Posner:
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset. ICRA 2020: 6433-6438 - [c140]David S. W. Williams, Daniele De Martini, Matthew Gadd, Letizia Marchegiani, Paul Newman:
Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision. ITSC 2020: 1-6 - [c139]Matthew Gadd, Daniele De Martini, Letizia Marchegiani, Paul Newman, Lars Kunze:
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios. IV 2020: 150-155 - [c138]Prannay Kaul, Daniele De Martini, Matthew Gadd, Paul Newman:
RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar. IV 2020: 431-436 - [c137]Matthew Gadd, Daniele De Martini, Paul Newman:
Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance. PLANS 2020: 270-276 - [c136]Tarlan Suleymanov, Matthew Gadd, Lars Kunze, Paul Newman:
LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic. PLANS 2020: 334-341 - [c135]Tim Y. Tang, Daniele De Martini, Shangzhe Wu, Paul Newman:
Self-Supervised Localisation between Range Sensors and Overhead Imagery. Robotics: Science and Systems 2020 - [c134]Stefan Saftescu, Paul Newman:
Learning Geometrically Consistent Mesh Corrections. VISIGRAPP (4: VISAPP) 2020: 664-675 - [i32]Tim Y. Tang, Daniele De Martini, Dan Barnes, Paul Newman:
RSL-Net: Localising in Satellite Images From a Radar on the Ground. CoRR abs/2001.03233 (2020) - [i31]Stefan Saftescu, Paul Newman:
Learning to Correct 3D Reconstructions from Multiple Views. CoRR abs/2001.08098 (2020) - [i30]Stefan Saftescu, Matthew Gadd, Daniele De Martini, Dan Barnes, Paul Newman:
Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning. CoRR abs/2001.09438 (2020) - [i29]Will Maddern, Geoffrey Pascoe, Matthew Gadd, Dan Barnes, Brian Yeomans, Paul Newman:
Real-time Kinematic Ground Truth for the Oxford RobotCar Dataset. CoRR abs/2002.10152 (2020) - [i28]Matthew Gadd, Daniele De Martini, Paul Newman:
Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance. CoRR abs/2003.04699 (2020) - [i27]Tarlan Suleymanov, Matthew Gadd, Lars Kunze, Paul Newman:
LiDAR Lateral Localisation Despite Challenging Occlusion from Traffic. CoRR abs/2003.04708 (2020) - [i26]Horia Porav, Valentina-Nicoleta Musat, Tom Bruls, Paul Newman:
Rainy screens: Collecting rainy datasets, indoors. CoRR abs/2003.04742 (2020) - [i25]Prannay Kaul, Daniele De Martini, Matthew Gadd, Paul Newman:
RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar. CoRR abs/2004.03451 (2020) - [i24]Matthew Gadd, Daniele De Martini, Letizia Marchegiani, Paul Newman, Lars Kunze:
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios. CoRR abs/2005.02031 (2020) - [i23]David S. W. Williams, Daniele De Martini, Matthew Gadd, Letizia Marchegiani, Paul Newman:
Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision. CoRR abs/2005.05175 (2020) - [i22]Tim Y. Tang, Daniele De Martini, Shangzhe Wu, Paul Newman:
Self-Supervised Localisation between Range Sensors and Overhead Imagery. CoRR abs/2006.02108 (2020)
2010 – 2019
- 2019
- [c133]Horia Porav, Valentina Musat, Paul Newman:
Reducing Steganography In Cycle-consistency GANs. CVPR Workshops 2019: 78-82 - [c132]Stephen Kyberd, Jonathan Attias, Peter Get, Paul Murcutt, Chris Prahacs, Matthew Towlson, Simon Venn, Andreia Vasconcelos, Matthew Gadd, Daniele De Martini, Paul Newman:
The Hulk: Design and Development of a Weather-Proof Vehicle for Long-Term Autonomy in Outdoor Environments. FSR 2019: 101-114 - [c131]Sarah Huiyi Cen, Paul Newman:
Radar-only ego-motion estimation in difficult settings via graph matching. ICRA 2019: 298-304 - [c130]Roberto Aldera, Daniele De Martini, Matthew Gadd, Paul Newman:
Fast Radar Motion Estimation with a Learnt Focus of Attention using Weak Supervision. ICRA 2019: 1190-1196 - [c129]Rob Weston, Sarah Huiyi Cen, Paul Newman, Ingmar Posner:
Probably Unknown: Deep Inverse Sensor Modelling Radar. ICRA 2019: 5446-5452 - [c128]Horia Porav, Tom Bruls, Paul Newman:
I Can See Clearly Now: Image Restoration via De-Raining. ICRA 2019: 7087-7093 - [c127]Simon Chadwick, Will Maddern, Paul Newman:
Distant Vehicle Detection Using Radar and Vision. ICRA 2019: 8311-8317 - [c126]Horia Porav, Tom Bruls, Paul Newman:
Don't Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation. ITSC 2019: 33-40 - [c125]Tom Bruls, Horia Porav, Lars Kunze, Paul Newman:
Generating All the Roads to Rome: Road Layout Randomization for Improved Road Marking Segmentation. ITSC 2019: 831-838 - [c124]Tarlan Suleymanov, Lars Kunze, Paul Newman:
Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR. ITSC 2019: 2693-2700 - [c123]Roberto Aldera, Daniele De Martini, Matthew Gadd, Paul Newman:
What Could Go Wrong? Introspective Radar Odometry in Challenging Environments. ITSC 2019: 2835-2842 - [c122]Tom Bruls, Horia Porav, Lars Kunze, Paul Newman:
The Right (Angled) Perspective: Improving the Understanding of Road Scenes Using Boosted Inverse Perspective Mapping. IV 2019: 302-309 - [c121]Simon Chadwick, Paul Newman:
Training Object Detectors With Noisy Data. IV 2019: 1319-1325 - [i21]Horia Porav, Tom Bruls, Paul Newman:
I Can See Clearly Now : Image Restoration via De-Raining. CoRR abs/1901.00893 (2019) - [i20]Horia Porav, Paul Newman:
Imminent Collision Mitigation with Reinforcement Learning and Vision. CoRR abs/1901.00898 (2019) - [i19]Simon Chadwick, Will Maddern, Paul Newman:
Distant Vehicle Detection Using Radar and Vision. CoRR abs/1901.10951 (2019) - [i18]Sarah Huiyi Cen, Paul Newman:
Radar-only ego-motion estimation in difficult settings via graph matching. CoRR abs/1904.11476 (2019) - [i17]Simon Chadwick, Paul Newman:
Training Object Detectors With Noisy Data. CoRR abs/1905.07202 (2019) - [i16]Tom Bruls, Horia Porav, Lars Kunze, Paul Newman:
Generating All the Roads to Rome: Road Layout Randomization for Improved Road Marking Segmentation. CoRR abs/1907.04569 (2019) - [i15]Tarlan Suleymanov, Lars Kunze, Paul Newman:
Online Inference and Detection of Curbs in Partially Occluded Scenes with Sparse LIDAR. CoRR abs/1907.05375 (2019) - [i14]Horia Porav, Tom Bruls, Paul Newman:
Don't Worry About the Weather: Unsupervised Condition-Dependent Domain Adaptation. CoRR abs/1907.11004 (2019) - [i13]Dan Barnes, Matthew Gadd, Paul Murcutt, Paul Newman, Ingmar Posner:
The Oxford Radar RobotCar Dataset: A Radar Extension to the Oxford RobotCar Dataset. CoRR abs/1909.01300 (2019) - [i12]Stefan Saftescu, Paul Newman:
Learning Geometrically Consistent Mesh Corrections. CoRR abs/1909.03471 (2019) - 2018
- [j39]Morteza Lahijanian, María Svorenová, Akshay A. Morye, Brian Yeomans, Dushyant Rao, Ingmar Posner, Paul Newman, Hadas Kress-Gazit, Marta Kwiatkowska:
Resource-Performance Tradeoff Analysis for Mobile Robots. IEEE Robotics Autom. Lett. 3(3): 1840-1847 (2018) - [c120]Paul Amayo, Pedro Piniés, Lina María Paz, Paul Newman:
Geometric Multi-Model Fitting With a Convex Relaxation Algorithm. CVPR 2018: 8138-8146 - [c119]Paul Amayo, Pedro Pinies, Lina María Paz, Paul Newman:
Fast Global Labelling for Depth-Map Improvement Via Architectural Priors. ICRA 2018: 1-8 - [c118]Rowan Border, Jonathan D. Gammell, Paul Newman:
Surface Edge Explorer (see): Planning Next Best Views Directly from 3D Observations. ICRA 2018: 1-8 - [c117]Sarah Huiyi Cen, Paul Newman:
Precise Ego-Motion Estimation with Millimeter-Wave Radar Under Diverse and Challenging Conditions. ICRA 2018: 1-8 - [c116]Horia Porav, Will Maddern, Paul Newman:
Adversarial Training for Adverse Conditions: Robust Metric Localisation Using Appearance Transfer. ICRA 2018: 1011-1018 - [c115]Tom Bruls, Will Maddern, Akshay A. Morye, Paul Newman:
Mark Yourself: Road Marking Segmentation via Weakly-Supervised Annotations from Multimodal Data. ICRA 2018: 1863-1870 - [c114]Michael Tanner, Stefan Saftescu, Alex Bewley, Paul Newman:
Meshed Up: Learnt Error Correction in 3D Reconstructions. ICRA 2018: 3201-3206 - [c113]Kevin M. Judd, Jonathan D. Gammell, Paul Newman:
Multimotion Visual Odometry (MVO): Simultaneous Estimation of Camera and Third-Party Motions. IROS 2018: 3949-3956 - [c112]Paul Amayo, Tom Bruls, Paul Newman:
Semantic Classification of Road Markings from Geometric Primitives. ITSC 2018: 387-393 - [c111]Lars Kunze, Tom Bruls, Tarlan Suleymanov, Paul Newman:
Reading between the Lanes: Road Layout Reconstruction from Partially Segmented Scenes. ITSC 2018: 401-408 - [c110]Tarlan Suleymanov, Paul Amayo, Paul Newman:
Inferring Road Boundaries Through and Despite Traffic. ITSC 2018: 409-416 - [c109]Horia Porav, Paul Newman:
Imminent Collision Mitigation with Reinforcement Learning and Vision. ITSC 2018: 958-964 - [c108]Letizia Marchegiani, Paul Newman:
Learning to Listen to Your Ego-(motion): Metric Motion Estimation from Auditory Signals. TAROS 2018: 247-259 - [i11]Matthew Gadd, Paul Newman:
The Data Market: Policies for Decentralised Visual Localisation. CoRR abs/1801.05607 (2018) - [i10]Michael Tanner, Stefan Saftescu, Alex Bewley, Paul Newman:
Meshed Up: Learnt Error Correction in 3D Reconstructions. CoRR abs/1801.09128 (2018) - [i9]Rowan Border, Jonathan D. Gammell, Paul Newman:
Surface Edge Explorer (SEE): Planning Next Best Views Directly from 3D Observations. CoRR abs/1802.08617 (2018) - [i8]Horia Porav, Will Maddern, Paul Newman:
Adversarial Training for Adverse Conditions: Robust Metric Localisation using Appearance Transfer. CoRR abs/1803.03341 (2018) - [i7]Kevin M. Judd, Jonathan D. Gammell, Paul Newman:
Multimotion Visual Odometry (MVO): Simultaneous Estimation of Camera and Third-Party Motions. CoRR abs/1808.00274 (2018) - [i6]Letizia Marchegiani, Paul Newman:
Listening for Sirens: Locating and Classifying Acoustic Alarms in City Scenes. CoRR abs/1810.04989 (2018) - [i5]Rob Weston, Sarah Huiyi Cen, Paul Newman, Ingmar Posner:
Probably Unknown: Deep Inverse Sensor Modelling In Radar. CoRR abs/1810.08151 (2018) - [i4]Tom Bruls, Horia Porav, Lars Kunze, Paul Newman:
The Right (Angled) Perspective: Improving the Understanding of Road Scenes using Boosted Inverse Perspective Mapping. CoRR abs/1812.00913 (2018) - 2017
- [j38]Margaret A. Boden, Joanna Bryson, Darwin G. Caldwell, Kerstin Dautenhahn, Lilian Edwards, Sarah Kember, Paul Newman, Vivienne Parry, Geoff Pegman, Tom Rodden, Tom Sorrell, Mick Wallis, Blay Whitby, Alan F. T. Winfield:
Principles of robotics: regulating robots in the real world. Connect. Sci. 29(2): 124-129 (2017) - [j37]Will Maddern, Geoffrey Pascoe, Chris Linegar, Paul Newman:
1 year, 1000 km: The Oxford RobotCar dataset. Int. J. Robotics Res. 36(1): 3-15 (2017) - [c107]Geoffrey Pascoe, Will Maddern, Michael Tanner, Pedro Pinies, Paul Newman:
NID-SLAM: Robust Monocular SLAM Using Normalised Information Distance. CVPR 2017: 1446-1455 - [c106]Dan Withers, Paul Newman:
Modelling scene change for large-scale long term laser localisation. ICRA 2017: 6233-6239 - [i3]Paul Amayo, Pedro Pinies, Lina María Paz, Paul Newman:
Geometric Multi-Model Fitting with a Convex Relaxation Algorithm. CoRR abs/1706.01553 (2017) - 2016
- [j36]Stephanie M. Lowry, Niko Sünderhauf, Paul Newman, John J. Leonard, David D. Cox, Peter I. Corke, Michael J. Milford:
Visual Place Recognition: A Survey. IEEE Trans. Robotics 32(1): 1-19 (2016) - [c105]Chris Linegar, Winston Churchill, Paul Newman:
Made to measure: Bespoke landmarks for 24-hour, all-weather localisation with a camera. ICRA 2016: 787-794 - [c104]Michael Tanner, Pedro Pinies, Lina María Paz, Paul Newman:
What lies behind: Recovering hidden shape in dense mapping. ICRA 2016: 979-986 - [c103]Paul Amayo, Pedro Pinies, Lina María Paz, Paul Newman:
A unified representation for application of architectural constraints in large-scale mapping. ICRA 2016: 1339-1345 - [c102]Terry Scott, Akshay A. Morye, Pedro Pinies, Lina María Paz, Ingmar Posner, Paul Newman:
Choosing a time and place for calibration of lidar-camera systems. ICRA 2016: 4349-4356 - [c101]Will Maddern, Paul M. Newman:
Real-time probabilistic fusion of sparse 3D LIDAR and dense stereo. IROS 2016: 2181-2188 - [c100]Tarlan Suleymanov, Lina María Paz, Pedro Pinies, Geoff Hester, Paul Newman:
The path less taken: A fast variational approach for scene segmentation used for closed loop control. IROS 2016: 3620-3626 - [c99]Matthew Gadd, Paul Newman:
Checkout my map: Version control for fleetwide visual localisation. IROS 2016: 5729-5736 - [c98]Ulrich Schwesinger, Mathias Bürki, Julian Timpner, Stephan Rottmann, Lars C. Wolf, Lina María Paz, Hugo Grimmett, Ingmar Posner, Paul Newman, Christian Häne, Lionel Heng, Gim Hee Lee, Torsten Sattler, Marc Pollefeys, Marco Allodi, Francesco Valenti, Keiji Mimura, Bernd Goebelsmann, Wojciech Derendarz, Peter Mühlfellner, Stefan Wonneberger, Rene Waldmann, Sebastian Grysczyk, Carsten Last, Stefan Bruning, Sven Horstmann, Marc Bartholomaus, Clemens Brummer, Martin Stellmacher, Fabian Pucks, Marcel Nicklas, Roland Siegwart:
Automated valet parking and charging for e-mobility. Intelligent Vehicles Symposium 2016: 157-164 - [i2]Michael Tanner, Pedro Pinies, Lina María Paz, Paul Newman:
DENSER Cities: A System for Dense Efficient Reconstructions of Cities. CoRR abs/1604.03734 (2016) - [i1]María Svorenová, Morteza Lahijanian, Akshay A. Morye, Dushyant Rao, Ingmar Posner, Paul Newman, Hadas Kress-Gazit, Marta Kwiatkowska:
Resource-Performance Trade-off Analysis for Mobile Robots. CoRR abs/1609.04888 (2016) - 2015
- [j35]Colin McManus, Ben Upcroft, Paul Newman:
Learning place-dependant features for long-term vision-based localisation. Auton. Robots 39(3): 363-387 (2015) - [j34]Dominic Zeng Wang, Ingmar Posner, Paul Newman:
Model-free detection and tracking of dynamic objects with 2D lidar. Int. J. Robotics Res. 34(7): 1039-1063 (2015) - [j33]Bonolo Mathibela, Paul Newman, Ingmar Posner:
Reading the Road: Road Marking Classification and Interpretation. IEEE Trans. Intell. Transp. Syst. 16(4): 2072-2081 (2015) - [c97]Geoffrey Pascoe, William P. Maddern, Paul Newman:
Robust Direct Visual Localisation using Normalised Information Distance. BMVC 2015: 70.1-70.13 - [c96]Hongkai Wen, Yiran Shen, Savvas Papaioannou, Winston Churchill, Niki Trigoni, Paul Newman:
Opportunistic Radio Assisted Navigation for Autonomous Ground Vehicles. DCOSS 2015: 21-30 - [c95]Michael Tanner, Pedro Piniés, Lina María Paz, Paul Newman:
BOR ^2 2 G: Building Optimal Regularised Reconstructions with GPUs (in Cubes). FSR 2015: 111-124 - [c94]Pedro Piniés, Lina María Paz, Paul Newman:
Dense and Swift Mapping with Monocular Vision. FSR 2015: 157-172 - [c93]Peter Nelson, Chris Linegar, Paul Newman:
Building, Curating, and Querying Large-Scale Data Repositories for Field Robotics Applications. FSR 2015: 517-531 - [c92]Geoffrey Pascoe, William P. Maddern, Paul Newman:
Direct Visual Localisation and Calibration for Road Vehicles in Changing City Environments. ICCV Workshops 2015: 98-105 - [c91]Chris Linegar, Winston Churchill, Paul Newman:
Work smart, not hard: Recalling relevant experiences for vast-scale but time-constrained localisation. ICRA 2015: 90-97 - [c90]Pedro Pinies, Lina María Paz, Paul Newman:
Too much TV is bad: Dense reconstruction from sparse laser with non-convex regularisation. ICRA 2015: 135-142 - [c89]Lina María Paz, Pedro Pinies, Paul Newman:
A variational approach to online road and path segmentation with monocular vision. ICRA 2015: 1633-1639 - [c88]William P. Maddern, Geoffrey Pascoe, Paul Newman:
Leveraging experience for large-scale LIDAR localisation in changing cities. ICRA 2015: 1684-1691 - [c87]Hugo Grimmett, Mathias Bürki, Lina María Paz, Pedro Pinies, Paul Timothy Furgale, Ingmar Posner, Paul Newman:
Integrating metric and semantic maps for vision-only automated parking. ICRA 2015: 2159-2166 - [c86]Matthew Gadd, Paul Newman:
A framework for infrastructure-free warehouse navigation. ICRA 2015: 3271-3278 - [c85]Winston Churchill, Chi Hay Tong, Corina Gurau, Ingmar Posner, Paul Newman:
Know your limits: Embedding localiser performance models in teach and repeat maps. ICRA 2015: 4238-4244 - [c84]Pedro Pinies, Lina María Paz, Paul Newman:
Dense mono reconstruction: Living with the pain of the plain plane. ICRA 2015: 5226-5231 - [c83]Peter Nelson, Winston Churchill, Ingmar Posner, Paul Newman:
From dusk till dawn: Localisation at night using artificial light sources. ICRA 2015: 5245-5252 - [c82]Geoffrey Pascoe, William P. Maddern, Alexander D. Stewart, Paul Newman:
FARLAP: Fast robust localisation using appearance priors. ICRA 2015: 6366-6373 - [c81]Terry Scott, Akshay A. Morye, Pedro Pinies, Lina María Paz, Ingmar Posner, Paul Newman:
Exploiting known unknowns: Scene induced cross-calibration of lidar-stereo systems. IROS 2015: 3647-3653 - 2014
- [c80]Colin McManus, Winston Churchill, William P. Maddern, Alexander D. Stewart, Paul Newman:
Shady dealings: Robust, long-term visual localisation using illumination invariance. ICRA 2014: 901-906 - [c79]Rohan Paul, Dan Feldman, Daniela Rus, Paul Newman:
Visual precis generation using coresets. ICRA 2014: 1304-1311 - [c78]Ben Upcroft, Colin McManus, Winston Churchill, William P. Maddern, Paul Newman:
Lighting invariant urban street classification. ICRA 2014: 1712-1718 - [c77]William P. Maddern, Alexander D. Stewart, Paul Newman:
LAPS-II: 6-DoF day and night visual localisation with prior 3D structure for autonomous road vehicles. Intelligent Vehicles Symposium 2014: 330-337 - [c76]Colin McManus, Ben Upcroft, Paul Newman:
Scene Signatures: Localised and Point-less Features for Localisation. Robotics: Science and Systems 2014 - 2013
- [j32]Paul Newman, Nicholas Roy, Siddhartha S. Srinivasa:
Special issue on Robotics: Science and Systems. Auton. Robots 35(4): 239 (2013) - [j31]Paul Newman, Siddhartha S. Srinivasa:
Editorial. Int. J. Robotics Res. 32(7): 765 (2013) - [j30]Winston Churchill, Paul Newman:
Experience-based navigation for long-term localisation. Int. J. Robotics Res. 32(14): 1645-1661 (2013) - [j29]Rohan Paul, Paul Newman:
Self-help: Seeking out perplexing images for ever improving topological mapping. Int. J. Robotics Res. 32(14): 1742-1766 (2013) - [j28]Liz Murphy, Paul Newman:
Risky Planning on Probabilistic Costmaps for Path Planning in Outdoor Environments. IEEE Trans. Robotics 29(2): 445-457 (2013) - [c75]Jamie Paik, Paul Newman:
Invited talks: Addressing soft robotics challenges with Robogamis. ECMR 2013: 1 - [c74]Ashley Napier, Peter Corke, Paul Newman:
Cross-calibration of push-broom 2D LIDARs and cameras in natural scenes. ICRA 2013: 3679-3684 - [c73]Colin McManus, Winston Churchill, Ashley Napier, Ben Davis, Paul Newman:
Distraction suppression for vision-based pose estimation at city scales. ICRA 2013: 3762-3769 - [c72]Mark Sheehan, Alastair Harrison, Paul Newman:
Continuous vehicle localisation using sparse 3D sensing, kernelised rényi distance and fast Gauss transforms. IROS 2013: 398-405 - [c71]Peter Corke, Rohan Paul, Winston Churchill, Paul Newman:
Dealing with shadows: Capturing intrinsic scene appearance for image-based outdoor localisation. IROS 2013: 2085-2092 - [c70]Bonolo Mathibela, Ingmar Posner, Paul Newman:
A roadwork scene signature based on the opponent colour model. IROS 2013: 4394-4400 - [c69]Dominic Zeng Wang, Ingmar Posner, Paul Newman:
A New Approach to Model-Free Tracking with 2D Lidar. ISRR 2013: 557-573 - [c68]Paul Timothy Furgale, Ulrich Schwesinger, Martin Rufli, Wojciech Derendarz, Hugo Grimmett, Peter Mühlfellner, Stefan Wonneberger, Julian Timpner, Stephan Rottmann, Bo Li, Bastian Schmidt, Thien-Nghia Nguyen, Elena Cardarelli, Stefano Cattani, Stefan Bruning, Sven Horstmann, Martin Stellmacher, Holger Mielenz, Kevin Köser, Markus Beermann, Christian Hane, Lionel Heng, Gim Hee Lee, Friedrich Fraundorfer, René Iser, Rudolph Triebel, Ingmar Posner, Paul Newman, Lars C. Wolf, Marc Pollefeys, Stefan Brosig, Jan Effertz, Cédric Pradalier, Roland Siegwart:
Toward automated driving in cities using close-to-market sensors: An overview of the V-Charge Project. Intelligent Vehicles Symposium 2013: 809-816 - [e2]Paul Newman, Dieter Fox, David Hsu:
Robotics: Science and Systems IX, Technische Universität Berlin, Berlin, Germany, June 24 - June 28, 2013. 2013, ISBN 978-981-07-3937-9 [contents] - 2012
- [j27]Nicholas Roy, Paul Newman:
Guest editorial: special issue on robotics: science and systems. Auton. Robots 33(3): 215-216 (2012) - [j26]Mark Sheehan, Alastair Harrison, Paul Newman:
Self-calibration for a 3D laser. Int. J. Robotics Res. 31(5): 675-687 (2012) - [j25]Paul Newman, Nicholas Roy:
Editorial. Int. J. Robotics Res. 31(7): 803 (2012) - [j24]Jonathan Kelly, Gabe Sibley, Tim D. Barfoot, Paul Newman:
Taking the Long View: A Report on Two Recent Workshops on Long-Term Autonomy [From the Field]. IEEE Robotics Autom. Mag. 19(1): 109-111 (2012) - [c67]Rudolph Triebel, Rohan Paul, Daniela Rus, Paul M. Newman:
Parsing Outdoor Scenes from Streamed 3D Laser Data Using Online Clustering and Incremental Belief Updates. AAAI 2012: 2088-2095 - [c66]Bradley W. Settlemyer, Nageswara S. V. Rao, Stephen W. Poole, Stephen W. Hodson, Susan E. Hicks, Paul M. Newman:
Experimental analysis of 10Gbps transfers over physical and emulated dedicated connections. ICNC 2012: 845-850 - [c65]Ian A. Baldwin, Paul Newman:
Road vehicle localization with 2D push-broom LIDAR and 3D priors. ICRA 2012: 2611-2617 - [c64]Alexander D. Stewart, Paul Newman:
LAPS - localisation using appearance of prior structure: 6-DoF monocular camera localisation using prior pointclouds. ICRA 2012: 2625-2632 - [c63]William P. Maddern, Alastair Harrison, Paul Newman:
Lost in translation (and rotation): Rapid extrinsic calibration for 2D and 3D LIDARs. ICRA 2012: 3096-3102 - [c62]Dominic Zeng Wang, Ingmar Posner, Paul Newman:
What could move? Finding cars, pedestrians and bicyclists in 3D laser data. ICRA 2012: 4038-4044 - [c61]Rohan Paul, Daniela Rus, Paul M. Newman:
How was your day? Online visual workspace summaries using incremental clustering in topic space. ICRA 2012: 4058-4065 - [c60]Winston Churchill, Paul M. Newman:
Practice makes perfect? Managing and leveraging visual experiences for lifelong navigation. ICRA 2012: 4525-4532 - [c59]Rohan Paul, Rudolph Triebel, Daniela Rus, Paul M. Newman:
Semantic categorization of outdoor scenes with uncertainty estimates using multi-class gaussian process classification. IROS 2012: 2404-2410 - [c58]Ian A. Baldwin, Paul Newman:
Laser-only road-vehicle localization with dual 2D push-broom LIDARS and 3D priors. IROS 2012: 2490-2497 - [c57]Bonolo Mathibela, Michael A. Osborne, Ingmar Posner, Paul Newman:
Can priors be trusted? Learning to anticipate roadworks. ITSC 2012: 927-932 - [c56]Winston Churchill, Paul Newman:
Continually improving large scale long term visual navigation of a vehicle in dynamic urban environments. ITSC 2012: 1371-1376 - [c55]Ashley Napier, Paul Newman:
Generation and exploitation of local orthographic imagery for road vehicle localisation. Intelligent Vehicles Symposium 2012: 590-596 - [e1]Nicholas Roy, Paul Newman, Siddhartha S. Srinivasa:
Robotics: Science and Systems VIII, University of Sydney, Sydney, NSW, Australia, July 9-13, 2012. 2012, ISBN 978-0-262-51968-7 [contents] - 2011
- [j23]Christopher Mei, Gabe Sibley, Mark Cummins, Paul M. Newman, Ian Reid:
RSLAM: A System for Large-Scale Mapping in Constant-Time Using Stereo. Int. J. Comput. Vis. 94(2): 198-214 (2011) - [j22]Mike Smith, Ingmar Posner, Paul M. Newman:
Adaptive compression for 3D laser data. Int. J. Robotics Res. 30(7): 914-935 (2011) - [j21]Mark Cummins, Paul M. Newman:
Appearance-only SLAM at large scale with FAB-MAP 2.0. Int. J. Robotics Res. 30(9): 1100-1123 (2011) - [c54]Alastair Harrison, Paul Newman:
TICSync: Knowing when things happened. ICRA 2011: 356-363 - [c53]Rohan Paul, Paul M. Newman:
Self help: Seeking out perplexing images for ever improving navigation. ICRA 2011: 445-451 - [c52]Robert Shade, Paul Newman:
Choosing where to go: Complete 3D exploration with stereo. ICRA 2011: 2806-2811 - [c51]Liz Murphy, Paul Newman:
Risky planning: Path planning over costmaps with a probabilistically bounded speed-accuracy tradeoff. ICRA 2011: 3727-3732 - [c50]Christopher Mei, Eric Sommerlade, Gabe Sibley, Paul M. Newman, Ian D. Reid:
Hidden view synthesis using real-time visual SLAM for simplifying video surveillance analysis. ICRA 2011: 4240-4245 - [c49]Mike Smith, Ingmar Posner, Paul M. Newman:
Adaptive Data Compression for Robot Perception. IJCAI 2011: 2746-2751 - [c48]Liz Murphy, Peter Corke, Paul Newman:
Choosing landmarks for risky planning. IROS 2011: 3868-3873 - 2010
- [j20]François Chaumette, Peter Corke, Paul Newman:
Editorial: Special Issue on Robotic Vision. Int. J. Robotics Res. 29(2-3): 131-132 (2010) - [j19]Gabe Sibley, Christopher Mei, Ian Reid, Paul M. Newman:
Vast-scale Outdoor Navigation Using Adaptive Relative Bundle Adjustment. Int. J. Robotics Res. 29(8): 958-980 (2010) - [j18]Michael R. Benjamin, Henrik Schmidt, Paul M. Newman, John J. Leonard:
Nested autonomy for unmanned marine vehicles with MOOS-IvP. J. Field Robotics 27(6): 834-875 (2010) - [j17]Mark Cummins, Paul M. Newman:
Accelerating FAB-MAP With Concentration Inequalities. IEEE Trans. Robotics 26(6): 1042-1050 (2010) - [c47]Mark Joseph Cummins, Paul M. Newman:
FAB-MAP: Appearance-Based Place Recognition and Mapping using a Learned Visual Vocabulary Model. ICML 2010: 3-10 - [c46]Gabe Sibley, Christopher Mei, Ian D. Reid, Paul M. Newman:
Planes, trains and automobiles - autonomy for the modern robot. ICRA 2010: 285-292 - [c45]Rohan Paul, Paul M. Newman:
FAB-MAP 3D: Topological mapping with spatial and visual appearance. ICRA 2010: 2649-2656 - [c44]Elizabeth Murphy, Paul Newman:
Planning most-likely paths from overhead imagery. ICRA 2010: 3059-3064 - [c43]Robert Shade, Paul Newman:
Discovering and mapping complete surfaces with stereo. ICRA 2010: 3910-3915 - [c42]Ingmar Posner, Peter Corke, Paul M. Newman:
Using text-spotting to query the world. IROS 2010: 3181-3186 - [c41]Christopher Mei, Gabe Sibley, Paul Newman:
Closing loops without places. IROS 2010: 3738-3744 - [c40]Ian Alan Baldwin, Paul Newman:
Non-parametric learning for natural plan generation. IROS 2010: 4311-4317 - [c39]Mark Sheehan, Alastair Harrison, Paul Newman:
Automatic Self-calibration of a Full Field-of-View 3D n-Laser Scanner. ISER 2010: 165-178 - [c38]Ashley Napier, Gabe Sibley, Paul Newman:
Real-time bounded-error pose estimation for road vehicles using vision. ITSC 2010: 1141-1146 - [c37]Mike Smith, Ingmar Posner, Paul Newman:
Efficient Non-Parametric Surface Representations Using Active Sampling for Push Broom Laser Data. Robotics: Science and Systems 2010 - [c36]Nageswara S. V. Rao, Susan E. Hicks, Stephen W. Poole, Paul M. Newman:
Testbed and Experiments for High-Performance Networking. TRIDENTCOM 2010: 19-34
2000 – 2009
- 2009
- [j16]Ingmar Posner, Mark Cummins, Paul M. Newman:
A generative framework for fast urban labeling using spatial and temporal context. Auton. Robots 26(2-3): 153-170 (2009) - [j15]Paul Newman, Peter Corke:
Editorial: Data Papers - Peer Reviewed Publication of High Quality Data Sets. Int. J. Robotics Res. 28(5): 587 (2009) - [j14]Mike Smith, Ian A. Baldwin, Winston Churchill, Rohan Paul, Paul M. Newman:
The New College Vision and Laser Data Set. Int. J. Robotics Res. 28(5): 595-599 (2009) - [j13]Paul Newman, Gabe Sibley, Mike Smith, Mark Cummins, Alastair Harrison, Christopher Mei, Ingmar Posner, Robbie Shade, Derik Schröter, Liz Murphy, Winston Churchill, Dave Cole, Ian D. Reid:
Navigating, Recognizing and Describing Urban Spaces With Vision and Lasers. Int. J. Robotics Res. 28(11-12): 1406-1433 (2009) - [j12]Brian Patrick Williams, Mark Cummins, José Neira, Paul M. Newman, Ian Reid, Juan D. Tardós:
A comparison of loop closing techniques in monocular SLAM. Robotics Auton. Syst. 57(12): 1188-1197 (2009) - [c35]Christopher Mei, Gabe Sibley, Mark Cummins, Paul M. Newman, Ian Reid:
A Constant-Time Efficient Stereo SLAM System. BMVC 2009: 1-11 - [c34]Alastair Harrison, Paul Newman:
Image and Sparse Laser Fusion for Dense Scene Reconstruction. FSR 2009: 219-228 - [c33]Mark Cummins, Paul Newman:
Highly scalable appearance-only SLAM - FAB-MAP 2.0. Robotics: Science and Systems 2009 - [c32]Dieter Sibley, Christopher Mei, Ian D. Reid, Paul Newman:
Adaptive relative bundle adjustment. Robotics: Science and Systems 2009 - 2008
- [j11]Mark Joseph Cummins, Paul M. Newman:
FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance. Int. J. Robotics Res. 27(6): 647-665 (2008) - [j10]Ingmar Posner, Derik Schröter, Paul M. Newman:
Online generation of scene descriptions in urban environments. Robotics Auton. Syst. 56(11): 901-914 (2008) - [c31]Alastair Harrison, Paul Newman:
High quality 3D laser ranging under general vehicle motion. ICRA 2008: 7-12 - [c30]Mark Joseph Cummins, Paul M. Newman:
Accelerated appearance-only SLAM. ICRA 2008: 1828-1833 - [c29]Elizabeth Murphy, Paul Newman:
Using incomplete online metric maps for topological exploration with the Gap Navigation Tree. ICRA 2008: 2792-2797 - [c28]Brian Patrick Williams, Mark Cummins, José Neira, Paul M. Newman, Ian D. Reid, Juan D. Tardós:
An image-to-map loop closing method for monocular SLAM. IROS 2008: 2053-2059 - [c27]Ingmar Posner, Mark Cummins, Paul Newman:
Fast Probabilistic Labeling of City Maps. Robotics: Science and Systems 2008 - 2007
- [j9]Kin Leong Ho, Paul M. Newman:
Detecting Loop Closure with Scene Sequences. Int. J. Comput. Vis. 74(3): 261-286 (2007) - [j8]Paul Newman:
Editorial for Journal of Field Robotics - Special Issue on SLAM in the Field. J. Field Robotics 24(1-2): 01-02 (2007) - [c26]Manjari Chandran-Ramesh, Paul Newman:
Assessing Map Quality Using Conditional Random Fields. FSR 2007: 35-48 - [c25]Mark Cummins, Paul M. Newman:
Probabilistic Appearance Based Navigation and Loop Closing. ICRA 2007: 2042-2048 - [c24]Ingmar Posner, Derik Schröter, Paul M. Newman:
Describing Composite Urban Workspaces. ICRA 2007: 4962-4968 - [c23]Paul Newman, Manjari Chandran-Ramesh, Dave Cole, Mark Cummins, Alastair Harrison, Ingmar Posner, Derik Schröter:
Describing, Navigating and Recognising Urban Spaces - Building an End-to-End SLAM System. ISRR 2007: 237-253 - [c22]Dave Cole, Paul Newman:
Context and Feature Sensitive Re-sampling from Discrete Surface Measurements. Robotics: Science and Systems 2007 - 2006
- [j7]Michael R. Benjamin, John J. Leonard, Joseph A. Curcio, Paul M. Newman:
A method for protocol-based collision avoidance between autonomous marine surface craft. J. Field Robotics 23(5): 333-346 (2006) - [j6]Kin Leong Ho, Paul M. Newman:
Loop closure detection in SLAM by combining visual and spatial appearance. Robotics Auton. Syst. 54(9): 740-749 (2006) - [c21]Paul M. Newman, David M. Cole, Kin Leong Ho:
Outdoor SLAM using Visual Appearance and Laser Ranging. ICRA 2006: 1180-1187 - [c20]David M. Cole, Paul M. Newman:
Using Laser Range Data for 3D SLAM in Outdoor Environments. ICRA 2006: 1556-1563 - [c19]Michael R. Benjamin, Matthew Grund, Paul M. Newman:
Multi-objective Optimization of Sensor Quality with Efficient Marine Vehicle Task Execution. ICRA 2006: 3226-3232 - [c18]Michael R. Benjamin, Joseph A. Curcio, John J. Leonard, Paul M. Newman:
Navigation of Unmanned Marine Vehicles in Accordance with the Rules of the Road. ICRA 2006: 3581-3587 - [c17]Manjari Chandran, Paul Newman:
Motion Estimation from Map Quality with Millimeter Wave Radar. IROS 2006: 808-813 - [c16]Ingmar Posner, Derik Schröter, Paul M. Newman:
Using Scene Similarity for Place Labelling. ISER 2006: 85-98 - 2005
- [c15]Paul M. Newman, Kin Leong Ho:
SLAM-Loop Closing with Visually Salient Features. ICRA 2005: 635-642 - [c14]Paul Newman, Henrik I. Christensen:
Session Overview Simultaneous Localisation and Mapping. ISRR 2005: 187-189 - 2004
- [j5]Michael Bosse, Paul M. Newman, John J. Leonard, Seth J. Teller:
Simultaneous Localization and Map Building in Large-Scale Cyclic Environments Using the Atlas Framework. Int. J. Robotics Res. 23(12): 1113-1139 (2004) - [c13]Richard J. Rikoski, John J. Leonard, Paul M. Newman, Henrik Schmidt:
Trajectory Sonar Perception in the Ligurian Sea. ISER 2004: 557-570 - 2003
- [c12]Paul M. Newman, Michael Bosse, John J. Leonard:
Autonomous feature-based exploration. ICRA 2003: 1234-1240 - [c11]Michael Bosse, Paul M. Newman, John J. Leonard, Martin Soika, Wendelin Feiten, Seth J. Teller:
An atlas framework for scalable mapping. ICRA 2003: 1899-1906 - [c10]Paul M. Newman, John J. Leonard:
Pure range-only sub-sea SLAM. ICRA 2003: 1921-1926 - [c9]John J. Leonard, Paul M. Newman:
Consistent, Convergent, and Constant-Time SLAM. IJCAI 2003: 1143-1150 - [c8]Paul M. Newman, John J. Leonard, Richard J. Rikoski:
Towards Constant-Time SLAM on an Autonomous Underwater Vehicle Using Synthetic Aperture Sonar. ISRR 2003: 409-420 - 2002
- [j4]Juan D. Tardós, José Neira, Paul M. Newman, John J. Leonard:
Robust Mapping and Localization in Indoor Environments Using Sonar Data. Int. J. Robotics Res. 21(4): 311-330 (2002) - [j3]John J. Leonard, Richard J. Rikoski, Paul M. Newman, Michael Bosse:
Mapping Partially Observable Features from Multiple Uncertain Vantage Points. Int. J. Robotics Res. 21(10-11): 943-976 (2002) - [c7]Richard J. Rikoski, John J. Leonard, Paul M. Newman:
Stochastic Mapping Frameworks. ICRA 2002: 426-433 - [c6]Paul M. Newman, John J. Leonard, Juan D. Tardós, José Neira:
Explore and Return: Experimental Validation of Real-Time Concurrent Mapping and Localization. ICRA 2002: 1802-1809 - [c5]John W. Fenwick, Paul M. Newman, John J. Leonard:
Cooperative Concurrent Mapping and Localization. ICRA 2002: 1810-1817 - 2001
- [j2]Stefan B. Williams, Paul M. Newman, Julio Rosenblatt, Gamini Dissanayake, Hugh F. Durrant-Whyte:
Autonomous underwater navigation and control. Robotica 19(5): 481-496 (2001) - [j1]Gamini Dissanayake, Paul M. Newman, Steve Clark, Hugh F. Durrant-Whyte, M. Csorba:
A solution to the simultaneous localization and map building (SLAM) problem. IEEE Trans. Robotics Autom. 17(3): 229-241 (2001) - [c4]John J. Leonard, Paul M. Newman, Richard J. Rikoski, José Neira, Juan D. Tardós:
Towards Robust Data Association and Feature Modeling for Concurrent Mapping and Localization. ISRR 2001: 7-20 - 2000
- [c3]Stefan B. Williams, Paul M. Newman, Gamini Dissanayake, Hugh F. Durrant-Whyte:
Autonomous Underwater Simultaneous Localisation and Map Building. ICRA 2000: 1793-1798
1990 – 1999
- 1999
- [c2]Gamini Dissanayake, Paul M. Newman, Hugh F. Durrant-Whyte, Steve Clark, M. Csorba:
An Experimental and Theoretical Investigation into Simultaneous Localisation and Map Building. ISER 1999: 265-274 - 1998
- [c1]Paul M. Newman, Hugh F. Durrant-Whyte:
Using Sonar in Terrain-Aided Underwater Navigation. ICRA 1998: 440-445
Coauthor Index
Mark Joseph Cummins
aka: Mark Cummins
aka: Mark Cummins
[j50] [j49] [j48] [c164] [c163] [c162] [c161] [c160] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [c159] [c158] [c157] [c156] [c155] [i46] [i45] [i44] [i42] [i41] [j45] [c152] [c151] [c150] [i40] [i39] [i38] [i37] [j43] [c149] [c147] [c146] [i36] [i35] [i34] [i33] [j40] [c142] [c141] [c140] [c139] [c138] [c137] [c136] [i30] [i29] [i28] [i27] [i25] [i24] [i23] [c132] [c130] [c123] [i13] [i11] [c99] [c86]
Will Maddern
aka: William P. Maddern
aka: William P. Maddern
[j50] [j49] [j48] [c164] [c163] [c162] [c161] [i52] [i51] [i50] [i49] [i48] [i47] [j47] [c159] [c157] [c156] [c155] [c154] [c153] [i46] [i44] [i43] [i42] [i41] [j45] [c152] [c151] [c150] [i40] [i39] [i38] [i37] [j42] [c149] [c147] [c146] [c145] [i36] [i35] [i34] [i33] [j41] [j40] [c142] [c140] [c139] [c138] [c137] [c135] [i32] [i30] [i28] [i25] [i24] [i23] [i22] [c132] [c130] [c123]
Valentina Musat
aka: Valentina-Nicoleta Musat
aka: Valentina-Nicoleta Musat
Pedro Pinies
aka: Pedro Piniés
aka: Pedro Piniés
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-28 23:34 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
