Anytime Lane-Level Intersection Estimation Based on Trajectories of Other Traffic Participants

Annika Meyer, Jonas Walter, Martin Lauer +1

The paper proposes a method for automated vehicles to infer lane-level intersection layouts directly from observed trajectories of other traffic participants, without relying on pr…

An Approach to Vehicle Trajectory Prediction Using Automatically Generated Traffic Maps

Jannik Quehl, Haohao Hu, Sascha Wirges +1

Localization in Aerial Imagery with Grid Maps using LocGAN

Haohao Hu, Junyi Zhu, Sascha Wirges +1

Guided Depth Upsampling for Precise Mapping of Urban Environments

Sascha Wirges, Björn Roxin, Eike Rehder +2

Generating Comfortable, Safe and Comprehensible Trajectories for Automated Vehicles in Mixed Traffic

Maximilian Naumann, Martin Lauer, Christoph Stiller

Capturing Object Detection Uncertainty in Multi-Layer Grid Maps

Sascha Wirges, Marcel Reith-Braun, Martin Lauer +1

Tackling Occlusions & Limited Sensor Range with Set-based Safety Verification

Piotr Franciszek Orzechowski, Annika Meyer, Martin Lauer

Momo: Monocular Motion Estimation on Manifolds

Johannes Graeter, Tobias Strauss, Martin Lauer

Pedestrian Prediction by Planning using Deep Neural Networks

Eike Rehder, Florian Wirth, Martin Lauer +1

LIMO: Lidar-Monocular Visual Odometry

Johannes Graeter, Alexander Wilczynski, Martin Lauer