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 …

A monocular vision based rear vehicle detection and tracking system is presented for Lane
Change Assist (LCA), which does not need road boundary and lane information. Our …

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 …

A real-time vision system has been developed that analyzes color videos taken from a
forward-looking video camera in a car driving on a highway. The system uses a combination …

In this paper, we address the problem of lane detection and lane tracking system by a single
camera CCD, installed on-broad of a vehicle for driving assistance or autonomous vehicle …

Monitoring the lateral and rear lane is required for several car vision applications like a blind-
spot detection, an overtake checker, a lane change assistant or a door-opener assistant. For …

This paper proposes a vehicle detection and tracking system based on processing
monochrome images captured by a single camera. The work has mainly been focused on …

This paper proposes a monocular vision solution to simultaneous detection of multiple lanes
in navigable regions/urban roads using accumulator voting. Unlike other approaches in …

In this paper, we introduce a novel stereo-monocular fusion approach to on-road localization
and tracking of vehicles. Utilizing a calibrated stereo-vision rig, the proposed approach …

A lane detection system using around view monitoring (AVM) images is presented in this
paper. To provide safe driving condition, many lane detection approaches have been …