For the widespread use of Autonomous Vehicles (AVs), a huge number of challenges must
be solved by vehicle manufacturers, in contrast they do have significant potential to increase …

A reliable environment perception is a crucial task for autonomous driving, especially in
dense traffic areas. Recent improvements and breakthroughs in scene understanding for …

Autonomous Driving (AD) introduces dramatic changes to the way we travel. This emerging
technology has the potential to impact the transportation sector across a wide array of …

Abstract Many Connected and Automated Vehicle (CAV) applications assume that highly
accurate positioning is always available. However, this is not the case in many real-life …

Perception algorithms are essential for autonomous or semi-autonomous vehicles to
perceive the semantics of their surroundings, including object detection, panoptic …

ICVs are expected to make the transportation safer, cleaner, and more comfortable in the
near future. However, the trend of connectivity has greatly increased the attack surfaces of …

Objective A human steering model for teleoperated driving is extended to capture the human
steering behavior in haptic shared control of autonomy-enabled Unmanned Ground …

Despite many advances that aim to bring autonomous cars to market, several challenges
remain to overcome before such technology is widely adopted. Among these is the need for …

Autonomous vehicles are one of the increasingly widespread application areas in
automotive technology. These vehicles show significant potential in improving transportation …

The development of safe intelligent transportation systems (ITS) has driven extensive
research to come up with efficient environment perception techniques with a variety of …