A collision mitigation system using laser scanner and stereovision fusion and its assessment
- 1 January 2005
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- No. 19310587,p. 441-446
- https://doi.org/10.1109/ivs.2005.1505143
Abstract
Road traffic incidents analysis has shown that 52% of them are caused by a collision between two vehicles or between a vehicle and an obstacle. In this paper, a collision mitigation system is proposed and evaluated towards various typical road situations. The aim of the system is to decrease the kinetic energy of the collision through automatic emergency braking that occurs 1 second before the collision. This emergency braking is triggered by an alarm coming from a decision unit taking into consideration the results of a generic obstacles detection system -based on fusion between stereovision and laser scanner- and a warning area in front of the vehicle. The different sub-systems are presented. Various typical dangerous road situations are then introduced. The behavior of the collision mitigation system towards these situations is presented through real tests carried out in the context of the ARCOS French project. These experiments show the reliability, the genericity and the efficiency of the system. In particular, the false alarm rate is low, the detection rate is high and the system proves to be reactive.Keywords
This publication has 7 references indexed in Scilit:
- Cooperative Fusion for Multi-Obstacles Detection With Use of Stereovision and Laser ScannerAutonomous Robots, 2005
- Multi-target detection and tracking with a laserscannerPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Multi-target multi-object tracking, sensor fusion of radar and infraredPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Obstacle detection using millimeter-wave radar and its visualization on image sequencePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Real time obstacle detection in stereovision on non flat road geometry through "v-disparity" representationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Fade: a vehicle detection and tracking system featuring monocular color vision and radar data fusionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- GOLD: a parallel real-time stereo vision system for generic obstacle and lane detectionIEEE Transactions on Image Processing, 1998