Surrounding Moving Obstacle Detection for Autonomous Driving Using Stereo Vision

Stereo Vision for Obstacle Detection in Autonomous Navigation

Stereo Vision-based Forward Obstacle Detection

−This paper proposes a stereo vision-based forward obstacle detection and distance measurement method. In general, stereo vision-based obstacle detection methods in automotive applications can be classified into two categories: IPM (Inverse Perspective Mapping)-based and disparity histogram-based. The existing disparity histogram-based method was developed for stop-and-go applications. The prop...

New Robust Obstacle Detection System using Color Stereo Vision

Intelligent transportation systems (ITS) are divided into intelligent infrastructure systems and intelligent vehicle systems. Intelligent vehicle systems are typically classified in three categories, namely 1) Collision Avoidance Systems; 2) Driver Assistance Systems and 3) Collision Notification Systems. Obstacle detection is one of crucial tasks for Collision Avoidance Systems and Driver Assi...

Evaluation of Stereo Vision Obstacle Detection Algorithms for Off-Road Autonomous Navigation

Reliable detection of non-traversable hazards is a key requirement for off-road autonomous navigation. Under the Army Research Laboratory (ARL) Collaborative Technology Alliances (CTA) program, JPL has evaluated the performance of seven obstacle detection algorithms on a General Dynamics Robotic Systems (GDRS) surveyed obstacle course containing 21 obstacles. Stereo imagery was collected from a...

Obstacle Avoidance Using Stereo Vision: A Survey

Stereoscopy is a technique used for recording and representing stereoscopic (3D) images. It can create an illusion of depth using two pictures taken at two or more slightly different positions. There are two possible way of taking stereoscopic pictures by using special two-lens stereo cameras or systems with two single-lens cameras joined together. Stereoscopic pictures allow us to calculate th...