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Andrew John Hill
Person information
- affiliation: The University of Sydney, Australian Centre for Field Robotics, Australia
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Journal Articles
- 2023
- [j7]Philip Gun
, Andrew J. Hill
, Robin Vujanic
:
Coordinating Multiple Cooperative Vehicle Trajectories on Shared Road Networks. IEEE Trans. Intell. Transp. Syst. 24(1): 274-290 (2023) - 2022
- [j6]Rami N. Khushaba
, Andrew John Hill
:
Radar-Based Materials Classification Using Deep Wavelet Scattering Transform: A Comparison of Centimeter vs. Millimeter Wave Units. IEEE Robotics Autom. Lett. 7(2): 2016-2022 (2022) - [j5]Konstantin M. Seiler
, Andrew W. Palmer
, Andrew John Hill
:
Flow-Achieving Online Planning and Dispatching for Continuous Transportation With Autonomous Vehicles. IEEE Trans Autom. Sci. Eng. 19(1): 457-472 (2022) - [j4]Robin Vujanic
, Andrew J. Hill
:
Computationally Efficient Dynamic Traffic Optimization of Railway Systems. IEEE Trans. Intell. Transp. Syst. 23(5): 4706-4719 (2022) - 2017
- [j3]Andrew W. Palmer
, Andrew John Hill
, Steven J. Scheding:
Methods for Stochastic Collection and Replenishment (SCAR) optimisation for persistent autonomy. Robotics Auton. Syst. 87: 51-65 (2017) - 2016
- [j2]Andrew W. Palmer
, Andrew John Hill
, Steven J. Scheding:
Applying Gaussian distributed constraints to Gaussian distributed variables. Inf. Fusion 32: 1-11 (2016) - 2010
- [j1]James Patrick Underwood, Andrew John Hill
, Thierry Peynot, Steve Scheding:
Error modeling and calibration of exteroceptive sensors for accurate mapping applications. J. Field Robotics 27(1): 2-20 (2010)
Conference and Workshop Papers
- 2022
- [c11]Georgia Markham, Konstantin M. Seiler
, Mehala Balamurali, Andrew J. Hill
:
Load-Haul Cycle Segmentation with Hidden Semi-Markov Models. CASE 2022: 447-454 - [c10]Mehala Balamurali
, Andrew John Hill
, Javier Martinez, Rami N. Khushaba, Liyang Liu, Najmeh Kamyabpour, Ehsan Mihankhah:
A Framework to Address the Challenges of Surface Mining through Appropriate Sensing and Perception. ICARCV 2022: 261-267 - 2020
- [c9]Nathan D. Wallace, He Kong, Andrew John Hill
, Salah Sukkarieh
:
The orienteering Problem with Replenishment. CASE 2020: 973-978 - 2019
- [c8]Nathan D. Wallace, He Kong, Andrew J. Hill
, Salah Sukkarieh
:
Experimental Validation of Structured Receding Horizon Estimation and Control for Mobile Ground Robot Slip Compensation. FSR 2019: 411-426 - [c7]Nathan D. Wallace, He Kong, Andrew John Hill
, Salah Sukkarieh
:
Receding horizon estimation and control with structured noise blocking for mobile robot slip compensation. ICRA 2019: 1169-1175 - [c6]Philip Gun, Andrew John Hill
, Robin Vujanic:
Multi-Vehicle Trajectory optimisation On Road Networks. ICRA 2019: 2025-2031 - 2018
- [c5]Andrew W. Palmer
, Andrew John Hill
, Steven J. Scheding:
Modelling Resource Contention in Multi-Robot Task Allocation Problems with Uncertain Timing. ICRA 2018: 1-8 - 2014
- [c4]Andrew W. Palmer
, Andrew John Hill
, Steve Scheding:
Stochastic collection and replenishment (SCAR) optimisation for persistent autonomy. IROS 2014: 2943-2949 - 2013
- [c3]Andrew W. Palmer
, Andrew John Hill
, Steven Scheding:
Stochastic collection and replenishment (SCAR): Objective functions. IROS 2013: 3324-3331 - 2009
- [c2]Thomas Allen, Andrew John Hill
, James Patrick Underwood, Steve Scheding:
Dynamic path planning with multi-agent data fusion - The Parallel Hierarchical Replanner. ICRA 2009: 3245-3250 - 2007
- [c1]James Patrick Underwood, Andrew John Hill
, Steve Scheding:
Calibration of range sensor pose on mobile platforms. IROS 2007: 3866-3871
Informal and Other Publications
- 2024
- [i14]Georgia Markham, Mehala Balamurali, Andrew J. Hill:
Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models. CoRR abs/2406.01073 (2024) - [i13]Milan Tomy, Konstantin M. Seiler, Andrew J. Hill:
MCTS Based Dispatch of Autonomous Vehicles under Operational Constraints for Continuous Transportation. CoRR abs/2407.16200 (2024) - 2023
- [i12]Raymond Leung, Andrew J. Hill, Arman Melkumyan:
Automation and AI Technology in Surface Mining With a Brief Introduction to Open-Pit Operations in the Pilbara. CoRR abs/2301.09771 (2023) - 2022
- [i11]Rami N. Khushaba, Arman Melkumyan, Andrew J. Hill:
A Machine Learning Approach for Material Type Logging and Chemical Assaying from Autonomous Measure-While-Drilling (MWD) Data. CoRR abs/2202.02959 (2022) - [i10]Rami N. Khushaba, Andrew J. Hill:
Radar-based Materials Classification Using Deep Wavelet Scattering Transform: A Comparison of Centimeter vs. Millimeter Wave Units. CoRR abs/2202.05169 (2022) - 2021
- [i9]Robin Vujanic, Andrew John Hill:
Computationally Efficient Dynamic Traffic Optimization Of Railway Systems. CoRR abs/2105.03924 (2021) - 2018
- [i8]Philip Gun, Andrew John Hill, Robin Vujanic:
Multi-Vehicle Trajectory Optimisation On Road Networks. CoRR abs/1810.02517 (2018) - [i7]Nathan D. Wallace, He Kong, Andrew John Hill, Salah Sukkarieh:
Receding horizon estimation and control with structured noise blocking for mobile robot slip compensation. CoRR abs/1810.04366 (2018) - 2016
- [i6]Andrew W. Palmer, Andrew John Hill, Steven Scheding:
Methods for Stochastic Collection and Replenishment (SCAR) optimisation for persistent autonomy. CoRR abs/1603.01419 (2016) - [i5]Andrew W. Palmer, Andrew John Hill, Steven J. Scheding:
Stochastic Collection and Replenishment (SCAR): Objective Functions. CoRR abs/1603.01931 (2016) - [i4]Andrew W. Palmer, Andrew John Hill, Steven J. Scheding:
Stochastic Collection and Replenishment (SCAR) Optimisation for Persistent Autonomy. CoRR abs/1603.01932 (2016) - [i3]Andrew W. Palmer, Andrew John Hill, Steven J. Scheding:
Applying Gaussian distributed constraints to Gaussian distributed variables. CoRR abs/1606.02205 (2016) - [i2]Andrew W. Palmer, Andrew John Hill, Steven J. Scheding:
Multi-robot task allocation with resource contention and uncertain timing. CoRR abs/1607.04358 (2016) - [i1]Andrew W. Palmer, Robin Vujanic, Andrew John Hill, Steven J. Scheding:
Weekly maintenance scheduling using exact and genetic methods. CoRR abs/1610.05016 (2016)
Coauthor Index
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last updated on 2024-08-20 23:01 CEST by the dblp team
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