Obstacle detection for vehicles in intelligent transport system

Vehicular ad hoc network (VANET) is a part of Intelligent Transport System (ITS) which provides inter-vehicle communication and improves traffic efficiency. In this system, safety becomes vital, especially when a machine has to detect an obstacle instead of a human to avoid accidents while driving. Processing on captured images can detect obstacles by observing change in the sequence of frames of the front scene while the vehicle is moving. This paper focuses on related work done for detection of objects, which can be useful to detect obstacles coming in the way of vehicles so that accidents can be prevented. We provide review of various obstacle detection techniques with their limitations that are proposed by various researchers in recent years.