Automated Vehicle Collision Avoidance and Navigation Using Raspberry Pi

This paper presents vehicle detection and road detection is done which are adopted in intelligent vehicles. Vehicle detection and tracking is done using the Haar cascade method to identify the vehicles which are present on road. This detects the stationary as well as the movable vehicles on road. Haar like features are implemented in the system to get a clear edge of the vehicle ahead. The road detection is the free space estimation on the road in which the system in the vehicle provides a safer path to navigate. HSV method is mainly used for colour extraction. The road detection uses HSV colour space algorithm to track the real-time changes on the road. In this research vehicle detection and road detection is done at the sane time. The research process is on-going and many algorithms are being found to reduce the problems faced on road today.