Abstract Research in Autonomous Driving is taking momentum due to the inherent
advantages of autonomous driving systems. The main advantage being the disassociation …

This comprehensive review focuses on the Autonomous Driving System (ADS), which aims
to reduce human errors that are the reason for about 95% of car accidents. The ADS …

Monocular 3D lane detection is a challenging task due to its lack of depth information. A
popular solution is to first transform the front-viewed (FV) images or features into the bird-eye …

Autonomy field, every vehicle is occupied with some kind or alter driver assist features in
order to compensate driver comfort. Expansion further to fully Autonomy is extremely …

Connected and automated vehicles (CAVs) can improve traffic safety and transportation
network efficiency while also reducing environmental impacts. However, congestion and …

FreneticV is a search-based testing tool based on an evolutionary approach that generates
roads where an automated driving agent possibly fails the lane-keeping task. It uses a …

Low-frequency electromagnetic pollution associated with electricity supplies and electrical
appliances creates broad and specific challenges. Among them, knowing the values of this …

Energy consumption and emissions of a vehicle are highly influenced by road contexts and
driving behavior. Especially, driving on horizontal curves often necessitates a driver to brake …

This paper addresses a challenging problem to achieve energy-saving autonomous homing
to the desired target for a parafoil/rocket system with high-altitude. The system is subject to …

It can be a daunting task for human drivers to merge into highways because of the intricate
vehicle negotiations and potential risk within limited time and space. Connected vehicle …