As autonomous vehicles become more common on the roads, their advancement draws on
safety concerns for vulnerable road users, such as pedestrians and cyclists. This paper …

Advances in information and signal processing technologies have a significant impact on
autonomous driving (AD), improving driving safety while minimizing the efforts of human …

As automobiles become increasingly autonomous, there is growing interest in personalized
automation based on human behavior. However, there is an increasing need for behavioral …

In countries like India road maintenance is a challenging task. Year after year, the accident
rates are increasing due to the up-surging potholes count. As the road maintenance process …

In this paper, we proposed a decentralized cooperative lane-changing decision-making
framework for connected autonomous vehicles, which is composed of three modules, ie …

Because of the inaccessibility of Vehicle-to-Infrastructure correspondence in the present
delivering frameworks,(TLD), Traffic Sign Detection and path identification are as yet thought …

Effective simulation and testing environment is a vital part in the research of self-driving
vehicles. It is capable of testing self-driving software and hardware quickly in a variety of …

Lane-changing (LC) is a critical task for autonomous driving, especially in complex dynamic
environments. Numerous automatic LC algorithms have been proposed. This topic …

Light detection and ranging (LiDAR) systems based on silicon single-photon avalanche
diodes (SPAD) offer several advantages, like the fabrication of system-on-chips with a co …

Encountering unexpected events with different levels of danger can cause different levels of
emotional changes in the driver, and identifying the driver's mental state can assist in …