Autonomous driving has so far received numerous attention from academia and industry.
However, the inevitable occlusion is a great menace to safety and reliable driving. Existing …

Despite recent advances in autonomous driving systems, accidents such as the fatal Uber
crash in 2018 show these systems are still susceptible to edge cases. Such systems must be …

Remote control of an autonomous vehicle by a human operator requires low delay video
transmission to resolve complex situations and ensure safety. The remote operator …

With increasing progress in autonomous driving, the human does not have to be in control of
the vehicle for the entire drive. A human driver obtains the control of the vehicle in case of an …

We present an introspective failure prediction approach for autonomous vehicles. In
autonomous driving, complex or unknown scenarios can cause a disengagement of the self …

Advanced driver assistance systems (ADAS) need to account for the driver's awareness of
the environment to be effectively used. This study examines the impact of environmental …

This paper presents a multi-view scheme to tackle the challenging problem of the self-
occlusion in human pose estimation problem. The proposed approach first obtains the …

Teleoperated driving (TOD) is a possible solution to cope with failures of autonomous
vehicles. In TOD, the human operator perceives the traffic situation via video streams of …

Accurate visual scene perception plays an important role in fields such as medical imaging
or autonomous driving. Recent advances in computer vision allow for accurate image …

The quality of semantic image segmentation models can be affected by external factors such
as weather or daytime. Those factors can lead to safety-critical mistakes. In this work, we …