354 citations · 582 across the 39 of their papers we have counts for
5 papers · 1 filter
INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps
Wei Zhan, Liting Sun, Di Wang +8
Behavior-related research areas such as motion prediction/planning, representation/imitation learning, behavior modeling/generation, and algorithm testing, require support from hig…
Anytime Lane-Level Intersection Estimation Based on Trajectories of Other Traffic Participants
Annika Meyer, Jonas Walter, Martin Lauer +1
Estimating and understanding the current scene is an inevitable capability of automated vehicles. Usually, maps are used as prior for interpreting sensor measurements in order to d…
Self-Supervised Flow Estimation using Geometric Regularization with Applications to Camera Image and Grid Map Sequences
Sascha Wirges, Johannes Gräter, Qiuhao Zhang +1
We present a self-supervised approach to estimate flow in camera image and top-view grid map sequences using fully convolutional neural networks in the domain of automated driving.…
Accurate Global Trajectory Alignment using Poles and Road Markings
Haohao Hu, Marc Sons, Christoph Stiller
Currently, digital maps are indispensable for automated driving. However, due to the low precision and reliability of GNSS particularly in urban areas, fusing trajectories of indep…
Capturing Object Detection Uncertainty in Multi-Layer Grid Maps
Sascha Wirges, Marcel Reith-Braun, Martin Lauer +1
We propose a deep convolutional object detector for automated driving applications that also estimates classification, pose and shape uncertainty of each detected object. The input…