Copyright Notice: The papers listed below have been published and the copyrights have been transferred to the respective publishers. Therefore, these papers cannot be duplicated for commercial purposes. The following are IEEE's and SPIE's copyright notice; other publishers have similar ones.
2024 | |
[22] | Multimodal Odometry Estimation With Automated Sensor Selection ( ), In Proceedings of International Conference on Information Fusion (FUSION), 2024. |
[21] | Beyond the pavement: Harnessing radar perception for unconventional driving environments ( ), Invited Conference Talk, 9th Automotive Sensors & Electronics Summit, 2024. |
2023 | |
[20] | Joint Multiple Extended Object Tracking by Optimizing the Global Coherence ( ), In Combined IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI), 2023. |
[19] | Generating Odometry Measurements from Automotive Radar Doppler Measurements ( ), In Combined IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI), 2023. |
2022 | |
[18] | Probabilistic Vehicle Tracking with Sparse Radar Detection Measurements ( ), In ISIF Journal of Advances in Information Fusion, volume 17, 2022. |
[17] | Extended Target Tracking with a Particle Filter Using State Dependent Target Measurement Models ( ), In Proceedings of International Conference on Information Fusion (FUSION), 2022. |
2020 | |
[16] | Deriving Spatial Occupancy Evidence from Radar Detection Data ( ), In Proceedings of IEEE Intelligent Vehicles Symposium (IV), 2020. |
[15] | A Continuous Probabilistic Origin Association Filter for Extended Object Tracking ( ), In Proceedings of IEEE International Conference on Multisensor Fusion and Integration (MFI), 2020. |
[14] | Extended Object Tracking with an Improved Measurement-to-Contour Association ( ), In IEEE 23rd International Conference on Information Fusion (FUSION), 2020. |
2019 | |
[13] | A Merging Strategy for Gaussian Process Extended Target Estimates in Multi-Sensor Applications ( ), In Proceedings of IEEE Intelligent Vehicles Symposium (IV), 2019. |
[12] | A Radar Measurement Model for Extended Object Tracking in Dynamic Scenarios ( ), In Proceedings of IEEE Intelligent Vehicles Symposium (IV), 2019. |
2018 | |
[11] | An Abstracted Radar Measurement Model for Extended Object Tracking ( ), In Proceedings of IEEE Intelligent Transportation Systems Conference (ITSC), 2018. |
[10] | ELROB 2018 – Convoy and Mule of Team MuCAR ( ), In Proceedings of 21th International Symposium on Measurement and Control in Robotics (ISMCR), 2018. |
[9] | Considering Measurement Uncertainty in Dynamic Object Tracking for Autonomous Driving Applications ( ), In tm - technisches messen, 2018. |
2017 | |
[8] | Measurement Uncertainty and its Influence on Dynamic Object Tracking in Autonomous Driving ( ), In 8. VDI-Fachtagung "Messunsicherheit praxisgerecht bestimmen", VDI Verlag, volume 2319, 2017. |
[7] | Radar Reflection Characteristics of Vehicles for Contour and Feature Estimation ( ), In 11th Symposium Sensor Data Fusion: Trends, Solutions and Applications, 2017. |
[6] | Heterogeneous Multi-Sensor Fusion for Extended Objects in Automotive Scenarios Using Gaussian Processes and a GMPHD-Filter ( ), In 11th Symposium Sensor Data Fusion: Trends, Solutions and Applications, 2017. |
2015 | |
[5] | Bistatic simultaneous transmitter localization and mapping ( ), In Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2015. |
2014 | |
[4] | Case Study: Limitations of parameter estimation for non-cooperative multistatic active sonar by association ambiguities ( ), In Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2014. |
[3] | State dependent mode transition probabilities with an application to acceleration dependency ( ), In 17th International Conference on Information Fusion (FUSION), 2014. |
[2] | Parameter Estimation for Non-Cooperative Multistatic Sonar ( ), In 2nd International Conference and Exhibition on Underwater Acoustics (UA2014), 2014. |
2013 | |
[1] | State dependent mode transition probabilities ( ), In Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2013. |