Automated driving systems (ADSs) promise a safe, comfortable and efficient driving
experience. However, fatalities involving vehicles equipped with ADSs are on the rise. The …

We survey research on self-driving cars published in the literature focusing on autonomous
cars developed since the DARPA challenges, which are equipped with an autonomy system …

Intelligent connected vehicles (ICVs) are believed to change people's life in the near future
by making the transportation safer, cleaner and more comfortable. Although many …

This paper reviews the state-of-the-art real-time three-dimensional shape measurement
techniques that are capable of reconstructing the dynamic objects. In this review paper, we …

Nowadays Convolutional Neural Networks (CNNs) are being employed in a wide range of
industrial technologies for a variety of sectors, such as medical, automotive, aviation …

Volumetric deep learning approach towards stereo matching aggregates a cost volume
computed from input left and right images using 3D convolutions. Recent works showed that …

Object detection, Person tracking, and Person property estimation (PPE) are identical
innovation areas trying to improve their accuracy in different parameters to fit various real …

Vehicle detection is one of the most important environment perception tasks for autonomous
vehicles. The traditional vision‐based vehicle detection methods are not accurate enough …

Surveillance is the emerging concept in the current technology, as it plays a vital role in
monitoring keen activities at the nooks and corner of the world. Among which moving object …

This paper developed a data processing procedure for detection and tracking of multi-lane
multi-vehicle trajectories with a roadside Light Detection and Ranging (LiDAR) sensor …