61 citations · 325 across the 39 of their papers we have counts for
18 papers · 1 filter
Learning Super-resolved Depth from Active Gated Imaging
Tobias Gruber, Mariia Kokhova, Werner Ritter +2
Environment perception for autonomous driving is doomed by the trade-off between range-accuracy and resolution: current sensors that deliver very precise depth information are usua…
Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar
Nicolas Scheiner, Florian Kraus, Fangyin Wei +8
Conventional sensor systems record information about directly visible objects, whereas occluded scene components are considered lost in the measurement process. Non-line-of-sight (…
Can We Trust You? On Calibration of a Probabilistic Object Detector for Autonomous Driving
Di Feng, Lars Rosenbaum, Claudius Glaeser +2
Reliable uncertainty estimation is crucial for perception systems in safe autonomous driving. Recently, many methods have been proposed to model uncertainties in deep learning base…
Motion Estimation in Occupancy Grid Maps in Stationary Settings Using Recurrent Neural Networks
Marcel Schreiber, Vasileios Belagiannis, Claudius Glaeser +1
In this work, we tackle the problem of modeling the vehicle environment as dynamic occupancy grid map in complex urban scenarios using recurrent neural networks. Dynamic occupancy…
Towards Courteous Behavior and Trajectory Planning for Automated Driving
Oliver Speidel, Maximilian Graf, Thanh Phan-Huu +1
Efficient behavior and trajectory planning is one of the major challenges for automated driving. Especially intersection scenarios are very demanding due to their complexity arisin…
Separable Convolutional LSTMs for Faster Video Segmentation
Andreas Pfeuffer, Klaus Dietmayer
Semantic Segmentation is an important module for autonomous robots such as self-driving cars. The advantage of video segmentation approaches compared to single image segmentation i…