Sascha Wirges
Sascha Wirges
PhD candidate
Verified email at - Homepage
Cited by
Cited by
Object detection and classification in occupancy grid maps using deep convolutional networks
S Wirges, T Fischer, C Stiller, JB Frias
2018 21st International Conference on Intelligent Transportation Systems …, 2018
Making bertha cooperate–team annieway’s entry to the 2016 grand cooperative driving challenge
ÖŞ Taş, NO Salscheider, F Poggenhans, S Wirges, C Bandera, MR Zofka, ...
IEEE Transactions on Intelligent Transportation Systems 19 (4), 1262-1276, 2017
Robot operating system: A modular software framework for automated driving
AM Hellmund, S Wirges, ÖŞ Taş, C Bandera, NO Salscheider
2016 IEEE 19th International Conference on Intelligent Transportation …, 2016
Tactile Sensor on a Magnetic Basis using novel 3D Hall sensor-First prototypes and results
C Ledermann, S Wirges, D Oertel, M Mende, H Woern
2013 IEEE 17th International Conference on Intelligent Engineering Systems …, 2013
Capturing object detection uncertainty in multi-layer grid maps
S Wirges, M Reith-Braun, M Lauer, C Stiller
2019 IEEE Intelligent Vehicles Symposium (IV), 1520-1526, 2019
Evidential occupancy grid map augmentation using deep learning
S Wirges, C Stiller, F Hartenbach
2018 IEEE intelligent vehicles symposium (IV), 668-673, 2018
Fusion of range measurements and semantic estimates in an evidential framework/Fusion von Distanzmessungen und semantischen Größen im Rahmen der Evidenztheorie
S Richter, S Wirges, H Königshof, C Stiller
tm-Technisches Messen 86 (s1), 102-106, 2019
Semanticvoxels: Sequential fusion for 3d pedestrian detection using lidar point cloud and semantic segmentation
J Fei, W Chen, P Heidenreich, S Wirges, C Stiller
arXiv preprint arXiv:2009.12276, 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
An approach to vehicle trajectory prediction using automatically generated traffic maps
J Quehl, H Hu, S Wirges, M Lauer
2018 IEEE Intelligent Vehicles Symposium (IV), 544-549, 2018
Guided depth upsampling for precise mapping of urban environments
S Wirges, B Roxin, E Rehder, T Kühner, M Lauer
2017 IEEE Intelligent Vehicles Symposium (IV), 1140-1145, 2017
Exploiting Multi-Layer Grid Maps for Surround-View Semantic Segmentation of Sparse LiDAR Data
F Bieder, S Wirges, J Janosovits, S Richter, Z Wang, C Stiller
2020 IEEE Intelligent Vehicles Symposium (IV), 1892-1898, 2020
Self-supervised flow estimation using geometric regularization with applications to camera image and grid map sequences
S Wirges, J Gräter, Q Zhang, C Stiller
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1782-1787, 2019
Semantic Evidential Grid Mapping based on Stereo Vision
S Richter, J Beck, S Wirges, C Stiller
2020 IEEE International Conference on Multisensor Fusion and Integration for …, 2020
Learned Enrichment of Top-View Grid Maps Improves Object Detection
S Wirges, Y Yang, S Richter, H Hu, C Stiller
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
Fast and robust vehicle pose estimation by optimizing multiple pose graphs
M Harr, J Janosovits, C Stiller, S Wirges
2018 21st International Conference on Information Fusion (FUSION), 1707-1714, 2018
Automatic Generation of Training Data for Image Classification of Road Scenes
T Kühner, S Wirges, M Lauer
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1097-1103, 2019
Estimating Object Shape and Movement Using Local Occupancy Grid Maps
J Quehl, S Yan, S Wirges, JH Pauls, M Lauer
IFAC-PapersOnLine 52 (8), 87-92, 2019
Fusion of sequential LiDAR measurements for semantic segmentation of multi-layer grid maps
F Bieder, S Wirges, S Richter, C Stiller
tm-Technisches Messen 88 (6), 352-360, 2021
Semantic Evidential Grid Mapping Using Monocular and Stereo Cameras
S Richter, Y Wang, J Beck, S Wirges, C Stiller
Sensors 21 (10), 3380, 2021
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