3 papers
cs.RO2023
Mono Video-Based AI Corridor for Model-Free Detection of Collision-Relevant Obstacles
Thomas Michalke, Yassin Kaddar, Thomas Nürnberg +2
The detection of previously unseen, unexpected obstacles on the road is a major challenge for automated driving systems. Different from the detection of ordinary objects with pre-d…
cs.CV2022
A System-driven Automatic Ground Truth Generation Method for DL Inner-City Driving Corridor Detectors
Jona Ruthardt, Thomas Michalke
Data-driven perception approaches are well-established in automated driving systems. In many fields even super-human performance is reached. Unlike prediction and planning approach…
cs.CV2020
Where can I drive? A System Approach: Deep Ego Corridor Estimation for Robust Automated Driving
Thomas Michalke, Di Feng, Claudius Gläser +1
Lane detection is an essential part of the perception sub-architecture of any automated driving (AD) or advanced driver assistance system (ADAS). When focusing on low-cost, large s…