Given the increasing prevalence of intelligent systems capable of autonomous actions or
augmenting human activities, it is important to consider scenarios in which the human …

The number of research papers on decision-making systems in automated driving has
increased significantly over the last few years. Decision-making for automated driving can …

When humans and autonomous systems operate together as what we refer to as a hybrid
team, we of course wish to ensure the team operates successfully and effectively. We refer to …

Driving experience and anticipatory driving are essential skills for humans to operate
vehicles in complex environments. In the context of autonomous vehicles, the software must …

Autonomous Cyber-Physical Systems must often operate under uncertainties like sensor
degradation and shifts in the operating conditions, which increases its operational risk …

We propose the concept of error-reversing autoencoders (ERA) for correcting pixel-wise
errors made by an arbitrary semantic segmentation model. For this, we reframe the …

Abstract Cyber-Physical Systems (CPSs) are ubiquitous through our interactions with
applications such as smart homes, medical devices, avionics, and automobiles. However …

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 …

Multimodal object detection fuses different sensors such as camera or LIDAR to improve the
detection performance. However, individual sensor inputs can also be detrimental to a …

In image and video coding, the preprocessing of the images increases the perceptual quality
or controls the bitrate. In this paper, we conduct an extensive analysis of the rate-distortion …