In the near future, autonomous vehicles with full self-driving features will populate our public
roads. However, fully autonomous cars will require robust perception systems to safely …

Autonomous vehicles rely on a variety of sensors to gather information about their
surrounding. The vehicle's behavior is planned based on the environment perception …

The ability to measure psychological states such as fatigue will become increasingly
important with the introduction of automated driving systems (ADS) to everyday driving …

Safety is a critical concern for autonomous vehicles (AVs). Current testing approaches face
challenges in simultaneously meeting the requirements of being valid, safe, and fast. To …

System perception of the environment becomes more important as the level of automation
increases, especially at the higher levels of automation (L3+) of Automated Driving Systems …

The verification and validation of automated driving systems at SAE levels 4 and 5 is a multi-
faceted challenge for which classical statistical considerations become infeasible. For this …

Passive prosthetic legs require undesirable compensations from amputee users to avoid
stubbing obstacles and stairsteps. Powered prostheses can reduce those compensations by …

Object detection is an important factor in the autonomous driving industry. Object detection
for autonomous vehicles requires robust results, because various situations and …

Virtual validation of radar sensor models is becoming increasingly important for the safety
validation of Light Detection and Rangings (lidars). Therefore, methods for quantitative …

This article presents a gait monitoring method for the home-based rehabilitation of
Parkinson's disease using a following robot. We use robot-based 2-D light detection and …