OBSTACLE DETECTION USING MONO VISION CAMERA AND LASER SCANNER

Sandip Mahajan, Ravindra Bhosale, Parag Kulkarni

Abstract: Single sensor is used to detect the obstacles but that sensor must have support of other sensor for confirmation of obstacles. Only one sensor is capable to take the decision but multi sensor decision is more precise and accurate. In this proposed system, mono vision camera and laser scanner is used to detect the obstacles for vehicle. In the system firstly laser scanner is used to detect the obstacles and then mono vision camera is used to confirmation of obstacles. Using mono vision camera we can detect the length and breadth of the obstacles and using laser scanner is used to detect the distance between our vehicle and obstacles. Depending on above data the system will detect the collision time. The proposed system is perfect example of cooperative fusion between multi sensor systems. The proposed system is generating very less false ration so that this system can be used in the real time.

Keywords: Multi sensor data fusion, Laser Scanner, Mono Vision Camera, Contour analysis algorithm, Intelligent Vehicle, Obstacle Detection

DOI: https://doi.org/10.15623/ijret.2013.0212117