Prof. Dr. Jörn Thielecke



Organisation


Professur für Informationstechnik (Schwerpunkt Ortsbestimmung und Navigation)


Publications (Download BibTeX)

Go to first page Go to previous page 2 of 9 Go to next page Go to last page

Particke, F., Hofmann, C., Hiller, M., Patino-Studencki, L., & Thielecke, J. (2018). Stochastic Modeling of Camera Errors for Stereo Image Processing. In Proceedings of the ICPRAI 2018, International Conference on Pattern Recognition and Artificial Intelligence. Montreal, CA.
Nowak, T., Hartmann, M., Thielecke, J., Hadachik, N., & Mutschler, C. (2018). Super-Resolution in RSS-based Direction-of-Arrival Estimation. In IEEE (Eds.), . Nantes, FR.
Particke, F., Kalisz, A., Hofmann, C., Hiller, M., Bey, H., & Thielecke, J. (2018). Systematic Analysis of Direct Sparse Odometry. In IEEE (Eds.), 2018 Digital Image Computing: Techniques and Applications (DICTA) (pp. 1-6). Canberra, Australia, AU.
Pittner, M., Hiller, M., Particke, F., Patino-Studencki, L., & Thielecke, J. (2018). Systematic Analysis of Global and Local Planners for Optimal Trajectory Planning. In Proceedings of the ISR 2018; 50th International Symposium on Robotics. München, DE: VDE.
Nowak, T., Hartmann, M., & Thielecke, J. (2018). Unified performance measures in network localization. Eurasip Journal on Advances in Signal Processing, 48(Network Localization), 1-17. https://dx.doi.org/10.1186/s13634-018-0570-8
Hiller, M., Particke, F., Hofmann, C., Bey, H., & Thielecke, J. (2018). World Modeling for Mobile Platforms Using a Contextual Object-Based Representation of the Environment. In IEEE (Eds.), Proceedings of the 2018 IEEE 8th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER) (pp. 187-191). Tianjin, China.
Kölpin, A., & Thielecke, J. (2017, June). BATS: A system approach for animal tracking in resources limited wireless sensor networks. Paper presentation at International Microwave Symposium 2017, Honolulu, HI, US.
Particke, F., Kolbenschlag, R., Hiller, M., Patino-Studencki, L., & Thielecke, J. (2017). Deep Learning for Real-Time Capable Object Detection and Localization on Mobile Platforms. In Proceedings of the AIAAT 2017 (pp. 012005). Hawaii, US.
Particke, F., Hiller, M., Patino-Studencki, L., Thielecke, J., Sippl, C., & Feist, C. (2017). Improvements in Pedestrian Tracking by a Generalized Potential Field Approach. In Proceedings of the mobil.TUM 2017. München, DE.
Hiller, M., Particke, F., Patino-Studencki, L., & Thielecke, J. (2017). Incorporating building information to globalize and robustify grid-based indoor SLAM. In 2017 17th International Conference on Control, Automation and Systems (ICCAS) (pp. 1872-1877). Jeju, KR.

Last updated on 2016-05-05 at 05:28