research
∙
02/17/2023
LDFA: Latent Diffusion Face Anonymization for Self-driving Applications
In order to protect vulnerable road users (VRUs), such as pedestrians or...
share
research
∙
07/15/2021
High-level Decisions from a Safe Maneuver Catalog with Reinforcement Learning for Safe and Cooperative Automated Merging
Reinforcement learning (RL) has recently been used for solving challengi...
research
∙
06/08/2021
Efficient Sampling in POMDPs with Lipschitz Bandits for Motion Planning in Continuous Spaces
Decision making under uncertainty can be framed as a partially observabl...
research
∙
07/14/2020
Fast Lane-Level Intersection Estimation using Markov Chain Monte Carlo Sampling and B-Spline Refinement
Estimating the current scene and understanding the potential maneuvers a...
research
∙
04/09/2020
Risk-Aware High-level Decisions for Automated Driving at Occluded Intersections with Reinforcement Learning
Reinforcement learning is nowadays a popular framework for solving diffe...
research
∙
03/02/2020
Decision-making for automated vehicles using a hierarchical behavior-based arbitration scheme
Behavior planning and decision-making are some of the biggest challenges...
research
∙
06/06/2019
Anytime Lane-Level Intersection Estimation Based on Trajectories
Estimating and understanding the current scene is an inevitable capabili...
research
∙
06/04/2019
Localization in Aerial Imagery with Grid Maps using LocGAN
In this work, we present LocGAN, our localization approach based on a ge...
research
∙
01/31/2019
Capturing Object Detection Uncertainty in Multi-Layer Grid Maps
We propose a deep convolutional object detector for automated driving ap...
research
∙
07/19/2018
LIMO: Lidar-Monocular Visual Odometry
Higher level functionality in autonomous driving depends strongly on a p...
research
∙
07/03/2018
Tackling Occlusions & Limited Sensor Range with Set-based Safety Verification
Provable safety is one of the most critical challenges in automated driv...
research
∙
05/14/2018
Generating Comfortable, Safe and Comprehensible Trajectories for Automated Vehicles in Mixed Traffic
While motion planning approaches for automated driving often focus on sa...
research
∙
02/23/2018
An Approach to Vehicle Trajectory Prediction Using Automatically Generated Traffic Maps
Trajectory and intention prediction of traffic participants is an import...
research
∙
08/01/2017
Momo: Monocular Motion Estimation on Manifolds
Knowledge about the location of a vehicle is indispensable for autonomou...
research
∙
06/19/2017
Guided Depth Upsampling for Precise Mapping of Urban Environments
We present an improved model for MRF-based depth upsampling, guided by i...
research
∙
06/19/2017
