Markus Hiller



Organisationseinheit


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


Publikationen (Download BibTeX)


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. Monterey, US.
Particke, F., Hofmann, C., Hiller, M., Patino-Studencki, L., & Thielecke, J. (2018). Stochastic Modeling of Camera Errors for Stereo Image Processing. 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. München, DE: VDE.
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. (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. 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.
Particke, F., Hiller, M., Patino-Studencki, L., Sippl, C., Feist, C., & Thielecke, J. (2017). Multiple intention tracking by a generalized potential field approach. In 2017 Sensor Data Fusion: Trends, Solutions, Applications (SDF) (pp. 1-5). Bonn.

Zuletzt aktualisiert 2017-26-11 um 04:33