Automated driving systems (ADSs) aim to improve the safety, efficiency and comfort of future
vehicles. To achieve this, ADSs use sensors to collect raw data from their environment. This …

Cooperative perception can significantly improve the perception performance of
autonomous vehicles beyond the limited perception ability of individual vehicles by …

The increasing popularity of compact and inexpensive cameras, eg dash cameras, body
cameras, and cameras equipped on robots, has sparked a growing interest in detecting …

Accident anticipation (or the prediction of abnormal events in general) aims to forecast
accidents before they occur by assessing risks based on the preceding frames in videos …

Reliable and early detection of hazardous events is vital for the safe deployment of
automated driving systems. Yet, it remains challenging as road environments can be highly …

The need for a reliable system to detect high-risk incidents in complex settings like
roadways, which are infrequent but potentially dangerous, has arisen due to the occurrence …

In this paper, we delve into the pedestrian behavior understanding problem from the
perspective of three different tasks: intention estimation, action prediction, and event risk …

With the continuous advancement of autonomous driving technology, visual analysis
techniques have emerged as a prominent research topic. The data generated by …

This letter explores a critical facet of sensor technology: examining the feasibility of
harnessing the preexisting WiFi infrastructure to monitor and assess driver behavior. We …

Correctness properties are critical to conducting verification and validation on software
systems, especially those cyberphysical systems whose functionality changes frequently …