In this paper, we describe the development of a symmetry-based vehicle detection system.
The system uses a single forward looking camera to capture the road scene. Vehicles are …

A rear-vehicle detection system of static images based on monocular vision is presented. It
does not need the road boundary and lane information. Firstly, it segments the region of …

This paper presents stereo vision–based vehicle detection approach on the road using a
road feature and disparity histogram. It is not easy to detect only vehicles robustly on the …

This chapter presents a vision‐based lane‐vehicle detection and tracking system
comprising of (i) enhanced lane boundary detection,(ii) linear‐parabolic lane region …

This paper describes a vehicle detection system using a single camera. It is based on the
search for areas with a high vertical symmetry in multi-resolution images; symmetry is …

This paper presents a monocular machine vision system capable of detecting vehicles in
front or behind of our own vehicle. The system consists of two main steps: 1) generation of …

This study presents a monovision‐based system for on‐road vehicle detection and
computation of distance and relative speed in urban traffic. Many works have dealt with …

This paper proposes a novel method for vehicle detection and tracking using a vehicle-
mounted monocular camera. In this method, features of vehicles are learned as a …

This paper presents a stereo vision system for the detection and distance computation of a
preceding vehicle. It is divided in two major steps. Initially, a stereo vision-based algorithm is …

A real-time monocular vision based rear vehicle and motorcycle detection and tracking
approach is presented for lane change assistant (LCA). To achieve robustness and …