Object detection performed by Autonomous Vehicles (AV) s is a crucial operation that comes
ahead of various autonomous driving tasks, such as object tracking, trajectories estimation …

In emergency situations, actions that save lives and limit the impact of hazards are crucial. In
order to act, situational awareness is needed to decide what to do. Geolocalized photos and …

One of the primary tasks undertaken by autonomous vehicles (AVs) is object detection,
which comes ahead of object tracking, trajectory estimation, and collision avoidance …

The recent advancement of the autonomous vehicle has raised the need for reliable
environmental perception. This is evident, as an autonomous vehicle has to perceive and …

Now-a-days roads are monitored by CCTV cameras passively ie knowledge is not
generated by the CCTV cameras. Human resource constraint ie there is very limited posting …

Recently, traffic monitoring has attracted the attention of computer vision researchers. Many
algorithms have been developed to detect and tracN moving vehicles. In fact, vehicle …

In this paper we discuss a problem of automatic analysis of vehicles trajectories in the
context of illegal movements. It is crucial to detect restricted or security critical behaviour on …

On-road vehicle detection is a major part of various applications, such as driver assistance
systems and auto-driving, and these systems need to detect vehicles robustly and …

The driver's visual field as seen from their seat is one of the most fundamental prerequisites
for road safety. However, there is an area around the vehicle that remains invisible to the …

With rapid increase in population, vehicle ownership grows twice as rapidly as income,
which leads to large increase in traffic density. Road traffic monitoring is necessary for road …