Christoph B. Rist
Christoph B. Rist
PhD Student, TU Delft Intelligent Vehicles Group
Verified email at - Homepage
Cited by
Cited by
Data-driven simulation and parametrization of traffic scenarios for the development of advanced driver assistance systems
MR Zofka, F Kuhnt, R Kohlhaas, C Rist, T Schamm, JM Zöllner
2015 18th International Conference on Information Fusion (Fusion), 1422-1428, 2015
Cross-sensor deep domain adaptation for LiDAR detection and segmentation
CB Rist, M Enzweiler, DM Gavrila
2019 IEEE Intelligent Vehicles Symposium (IV), 1535-1542, 2019
Scan-based Semantic Segmentation of LiDAR Point Clouds: An Experimental Study
LT Triess, D Peter, CB Rist, JM Zöllner
2020 IEEE Intelligent Vehicles Symposium (IV), 1116-1121, 2020
A Survey on Deep Domain Adaptation for LiDAR Perception
LT Triess, M Dreissig, CB Rist, JM Zöllner
arXiv preprint arXiv:2106.02377, 2021
Semantic scene completion using local deep implicit functions on LiDAR data
C Rist, D Emmerichs, M Enzweiler, D Gavrila
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
SCSSnet: Learning Spatially-Conditioned Scene Segmentation on LiDAR Point Clouds
CB Rist, D Schmidt, M Enzweiler, DM Gavrila
2020 IEEE Intelligent Vehicles Symposium (IV), 1086-1093, 2020
Real-time 3D LiDAR flow for autonomous vehicles
SA Baur, F Moosmann, S Wirges, CB Rist
2019 IEEE Intelligent Vehicles Symposium (IV), 1288-1295, 2019
CNN-based synthesis of realistic high-resolution LiDAR data
LT Triess, D Peter, CB Rist, M Enzweiler, JM Zöllner
2019 IEEE Intelligent Vehicles Symposium (IV), 1512-1519, 2019
Learning temporal features with CNNs for monocular visual ego motion estimation
M Weber, C Rist, JM Zöllner
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
The system can't perform the operation now. Try again later.
Articles 1–9