Enhancing Safety Through Advanced Collision and Obstruction Detection and Prevention

Vehicle accidents have been one of the leading causes of death. Numerous systems have been developed to counter this problem. the present architectures for collision detection are either very simple or very complex and overpowered/overdeveloped for most cases. which makes them mostly useless in most real-life scenarios. Thus, analyzing all the approaches so that a consensus can be formed, that which sensors are necessary and which ones clutter the environment and do not produce a contributing or a result-oriented output. this research paper compares and analyzes the various systems that have been developed till and criticizes them in great detail on the basis of the number of sensors used, the industry standards followed, architecture deployed, micro controller used and cost. It also points out the possible development scopes of architectures. The present approaches are also under scrutiny in the paper.