Florian Particke

According to our database, Florian Particke authored at least 14 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2020

Systematic Comparison of ORB-SLAM2 and LDSO based on Varying Simulated Environmental Factors.

Adam Kalisz, Tong Ling, Florian Particke, Christian Hofmann, Jörn Thielecke

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

2019

B-SLAM-SIM: A Novel Approach to Evaluate the Fusion of Visual SLAM and GPS by Example of Direct Sparse Odometry and Blender.

Adam Kalisz, Florian Particke, Dominik Penk, Markus Hiller, Jörn Thielecke

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Object Detection, Classification and Localization by Infrastructural Stereo Cameras.

Christian Hofmann, Florian Particke, Markus Hiller, Jörn Thielecke

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

Neural Network Aided Potential Field Approach For Pedestrian Prediction.

Florian Particke, Jiaren Zhou, Markus Hiller, Christian Hofmann, Jörn Thielecke

Proceedings of the 2019 Sensor Data Fusion: Trends, Solutions, Applications, 2019

Learning Topometric Semantic Maps from Occupancy Grids.

Markus Hiller, Chen Qiu, Florian Particke, Christian Hofmann, Jörn Thielecke

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Efficient Localization Using Radio-Based Sensors and Odometry.

Ahmad Amin Kharboutli, Markus Hiller, Florian Particke, Thorsten Nowak, Jörn Thielecke, Markus Hartmann

Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019

Systematic Analysis of the PMBM, PHD, JPDA and GNN Multi-Target Tracking Filters.

Julian Smith, Florian Particke, Markus Hiller, Jörn Thielecke

Proceedings of the 22th International Conference on Information Fusion, 2019

2018

Gaussian State Estimation with Non-Gaussian Measurement Noise.

Andreas Tollkühn, Florian Particke, Jörn Thielecke

Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2018

Improvements in pedestrian movement prediction by considering multiple intentions in a Multi-Hypotheses filter.

Florian Particke, Markus Hiller, Christian Feist, Jörn Thielecke

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2018

Entropy-Based Intention Change Detection with a Multi-Hypotheses Filter.

Florian Particke, Christian Hofmann, Markus Hiller, Henrik Bey, Christian Feist, Jörn Thielecke

Proceedings of the 21st International Conference on Information Fusion, 2018

Systematic Analysis of Direct Sparse Odometry.

Florian Particke, Adam Kalisz, Christian Hofmann, Markus Hiller, Henrik Bey, Jörn Thielecke

Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

2017

Pedestrian Tracking using a Generalized Potential Field Approach.

Florian Particke, Lucila Patino-Studencki, Jörn Thielecke, Christian Feist

Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP, Porto, Portugal, February 27, 2017

Multiple intention tracking by a generalizec potential field approach.

Florian Particke, Markus Hiller, Lucila Patino-Studencki, Christoph Sippl, Christian Feist, Jörn Thielecke

Proceedings of the Sensor Data Fusion: Trends, Solutions, Applications, 2017

Sensor data fusion of LIDAR with stereo RGB-D camera for object tracking.

Thomas Dieterle, Florian Particke, Lucila Patino-Studencki, Jörn Thielecke

Proceedings of the 2017 IEEE SENSORS, Glasgow, United Kingdom, October 29, 2017