Markus Hiller



Organisationseinheit


Lehrstuhl für Informationstechnik mit dem Schwerpunkt Kommunikationselektronik (Stiftungslehrstuhl)
Professur für Informationstechnik (Schwerpunkt Ortsbestimmung und Navigation)
Lehrstuhl für Regelungstechnik


Publikationen (Download BibTeX)

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Kalisz, A., Particke, F., Penk, D., Hiller, M., & Thielecke, J. (2019). B-SLAM-SIM: A Novel Approach to Evaluate the Fusion of Visual SLAM and GPS by Example of Direct Sparse Odometry and Blender. In SciTePress (Eds.), Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP (pp. 816-823). Prag, Tschechische Republik, CZ.
Kharboutli, A.A., Hiller, M., Particke, F., Nowak, T., Hartmann, M., & Thielecke, J. (2019). Efficient Localization Using Radio-Based Sensors and Odometry. In Proceedings of the 3rd IEEE International Conference on Robotic Computing, IRC 2019 (pp. 240-245). Institute of Electrical and Electronics Engineers Inc..
Hofmann, C., Particke, F., Hiller, M., & Thielecke, J. (2019). Object detection, classification and localization by infrastructural stereo cameras. In Andreas Kerren, Christophe Hurter, Jose Braz (Eds.), VISIGRAPP 2019 - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (pp. 808-815). Prague, CZ: SciTePress.
Particke, F., Hofmann, C., Hiller, M., Feist, C., & Thielecke, J. (2018). Entropy-Based Intention Change Detection with a Multi-Hypotheses Filter. In IEEE (Eds.), 2018 21st International Conference on Information Fusion (FUSION) (pp. 610-616). Cambridge, UK, GB: IEEE.
Particke, F., Hiller, M., Feist, C., & Thielecke, J. (2018). Improvements in Pedestrian Movement Prediction by Considering Multiple Intentions in a Multi-Hypotheses Filter. In Proceedings of the IEEE/ION PLANS 2018. Monterey, US.
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.
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.
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.
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.

Zuletzt aktualisiert 2017-26-11 um 04:33