The number of new vehicles on the road is increasing rapidly, which in turn causes highly
congested roads and serving as a reason to break traffic rules by violating them. This leads …

With the increasing use of onboard high-speed computing systems, vehicle manufacturers
are offering significant advanced features of driver assistance systems. Pedestrian detection …

This paper addresses road anomaly detection by formulating it as a classification problem
and applying deep learning approaches to solve it. Besides conventional road anomalies …

Internet of Things (IoT)-based intelligent transportation is attracting more and more attention.
As a key component of intelligent transportation, traffic video monitoring is very important, in …

Excessive booming global population creates a widespread increase in traffic on Hi-tech
modern roads. It is very much essential to detect vehicles and computing traffic congestion …

Ground plane context is an essential semantic information in on-road pedestrian detection
task. Due to viewpoint geometry constraints, pedestrians only appear in certain regions of …

Real-time pedestrian detection is an important task for unmanned driving systems and video
surveillance. The existing pedestrian detection methods often work at low speed and also …

Advanced driver assistance systems (ADASs), particularly pedestrian protection systems
(PPSs), have emerged as a hot research topic with the goal of enhancing traffic safety. The …

Pedestrian detection (PD) is a vital computer vision (CV) problem that is highly employed in
several real-time applications, namely autonomous driving methods, robotics, and security …

Pedestrians are the vulnerable participants in transportation system when crashes happen.
It is important to detect pedestrian efficiently and accurately in many computer vision …