Realizing autonomy is a hot research topic for automatic vehicles in recent years. For a long
time, most of the efforts to this goal concentrate on understanding the scenes surrounding …

For human drivers, having rear and side-view mirrors is vital for safe driving. They deliver a
more complete view of what is happening around the car. Human drivers also heavily exploit …

Highly accurate, camera-based object detection is an essential component of autonomous
navigation and assistive technologies. In particular, for on-road applications, localization …

Vision-based research for intelligent vehicles have traditionally focused on specific regions
around a vehicle, such as a front looking camera for, eg, lane estimation. Traffic scenes are …

This study aims to analyze the benefits of improved multi-scale reasoning for object
detection and localization with deep convolutional neural networks. To that end, an efficient …

A comprehensive and interdisciplinary review of notable literatures conducted were topic
closely related to object detection and surveillance, mainly vehicle tracking. This survey of …

The multi-camera array has drawn attention of researchers in recent years, and has been
configured and deployed on intelligent vehicle to capture the panoramic views …

Utilizing video-based instruments like surveillance cameras, shape the change in Intelligent
Transportation Systems. These devices have attracted a great amount of research attention …

Autonomous driving is driven by data. The availability of large and diverse data set from
different geographies can help in maturing Autonomous driving technology faster. It is …

This Project work proposes a real-time approach for multi-vehicle detection and tracking. It
involves detecting and continuously monitoring the status of vehicles from an aerial …