In this paper, we present a distributed embedded vision system that enables surround scene
analysis and vehicle threat estimation. The proposed system analyzes the surroundings of …

Vision-based driver assistance systems involve a range of data-intensive operations, which
pose challenges in implementing them as robust and real-time systems on resource …

Modern driver assistance systems rely on a wide range of sensors (RADAR, LIDAR,
ultrasound and cameras) for scene understanding and prediction. These sensors are …

Automotive surround view camera system is an emerging automotive ADAS (Advanced
Driver Assistance System) technology that assists the driver in parking the vehicle safely by …

This paper proposes the use of multiple low-cost visual sensors to obtain a surround view of
the ego-vehicle for semantic understanding. A multi-perspective view will assist the analysis …

This document provides a review of the past decade's literature in on-road vision-based
vehicle detection. Over the past decade, vision-based surround perception has matured …

This paper provides a review of the literature in on-road vision-based vehicle detection,
tracking, and behavior understanding. Over the past decade, vision-based surround …

The ability to detect pedestrians and other moving objects is crucial for an autonomous
vehicle. This must be done in real-time with minimum system overhead. This paper …

We address the problem of detecting rear-view (obstacle free) ground surface using a
vehicle production camera. This task is considerably more challenging than general front …

In this paper, we propose an approach to identify the driving environment for autonomous
highway vehicles by means of image processing and computer vision techniques. The …