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2020 – today
- 2020
[c14]Adam Kalisz, Tong Ling, Florian Particke, Christian Hofmann, Jörn Thielecke:
Systematic Comparison of ORB-SLAM2 and LDSO based on Varying Simulated Environmental Factors. VISIGRAPP (4: VISAPP) 2020: 173-180- [i1]Markus Hiller, Chen Qiu
, Florian Particke, Christian Hofmann, Jörn Thielecke:
Learning Topometric Semantic Maps from Occupancy Grids. CoRR abs/2001.03676 (2020)
2010 – 2019
- 2019
- [c13]Julian Smith, Florian Particke, Markus Hiller, Jörn Thielecke:
Systematic Analysis of the PMBM, PHD, JPDA and GNN Multi-Target Tracking Filters. FUSION 2019: 1-8 - [c12]Ahmad Amin Kharboutli, Markus Hiller, Florian Particke, Thorsten Nowak, Jörn Thielecke, Markus Hartmann:
Efficient Localization Using Radio-Based Sensors and Odometry. IRC 2019: 240-245 - [c11]Markus Hiller, Chen Qiu, Florian Particke, Christian Hofmann, Jörn Thielecke:
Learning Topometric Semantic Maps from Occupancy Grids. IROS 2019: 4190-4197 - [c10]Florian Particke, Jiaren Zhou, Markus Hiller, Christian Hofmann, Jörn Thielecke:
Neural Network Aided Potential Field Approach For Pedestrian Prediction. SDF 2019: 1-6 - [c9]Christian Hofmann, Florian Particke, Markus Hiller, Jörn Thielecke:
Object Detection, Classification and Localization by Infrastructural Stereo Cameras. VISIGRAPP (5: VISAPP) 2019: 808-815 - [c8]Adam Kalisz, Florian Particke, Dominik Penk, Markus Hiller, Jörn Thielecke:
B-SLAM-SIM: A Novel Approach to Evaluate the Fusion of Visual SLAM and GPS by Example of Direct Sparse Odometry and Blender. VISIGRAPP (5: VISAPP) 2019: 816-823 - 2018
- [c7]Florian Particke, Adam Kalisz, Christian Hofmann, Markus Hiller, Henrik Bey, Jörn Thielecke:
Systematic Analysis of Direct Sparse Odometry. DICTA 2018: 1-6 - [c6]Florian Particke, Christian Hofmann, Markus Hiller, Henrik Bey, Christian Feist, Jörn Thielecke:
Entropy-Based Intention Change Detection with a Multi-Hypotheses Filter. FUSION 2018: 610-616 - [c5]Florian Particke, Markus Hiller, Christian Feist, Jörn Thielecke:
Improvements in pedestrian movement prediction by considering multiple intentions in a Multi-Hypotheses filter. PLANS 2018: 209-212 - [c4]Andreas Tollkühn, Florian Particke, Jörn Thielecke:
Gaussian State Estimation with Non-Gaussian Measurement Noise. SDF 2018: 1-5 - 2017
- [c3]Thomas Dieterle, Florian Particke, Lucila Patino-Studencki, Jörn Thielecke:
Sensor data fusion of LIDAR with stereo RGB-D camera for object tracking. IEEE SENSORS 2017: 1-3 - [c2]Florian Particke, Markus Hiller, Lucila Patino-Studencki, Christoph Sippl, Christian Feist, Jörn Thielecke:
Multiple intention tracking by a generalizec potential field approach. SDF 2017: 1-5 - [c1]Florian Particke, Lucila Patino-Studencki, Jörn Thielecke, Christian Feist:
Pedestrian Tracking using a Generalized Potential Field Approach. VISIGRAPP (6: VISAPP) 2017: 509-514
Coauthor Index
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