Recently, the advanced driver assistance system (ADAS) of autonomous vehicles (AVs) has offered substantial benefits to drivers. Improvement of passenger safety is one of the key …
TE Burghardt, R Popp, B Helmreich, T Reiter… - Case Studies in …, 2021 - Elsevier
The same features of road markings–retroreflectivity and daytime visibility–are the key parameters for their recognition by both human drivers and for machine vision (MV) utilised …
Safety validation of automated driving functions is a major challenge that is partly tackled by means of simulation-based testing. The virtual validation approach always entails the …
The reliability of autonomous driving sensing systems impacts the overall safety of the driving system. However, perception system fault diagnosis is currently a weak area of …
Driven/driving shafts are the most important portion of rotating devices. Misdiagnosis or late diagnosis of these components could result in severe vibrations, defects in other parts …
In this work, we propose a fault detection strategy for wireless sensor networks (WSNs) called Trend Correlation based Fault Detection strategy (TCFD). This strategy can detect the …
Smart electric vehicles (EVs) are attractive because of their clean, zero-emission, low impact on the environment whilst providing a safer and smoother riding experience. To provide the …
B Schlager, T Goelles, M Behmer… - IEEE Open Journal …, 2022 - ieeexplore.ieee.org
Lidar is an important component of the perception suite for automated systems. The effects of vibration on lidar point clouds are mostly unknown, despite the lidar's wide adaption and …
F Sezgin, D Vriesman, D Steinhauser… - 2023 IEEE Intelligent …, 2023 - ieeexplore.ieee.org
The vehicle's perception sensors radar, lidar and camera, which must work continuously and without restriction, especially with regard to automated/autonomous driving, can lose …