FOGMINATOR: LIDAR based device for collision avoidance in fog

Abstract

The automotive industry is one of the ever-growing sectors in terms of self-driven vehicles that are capable of self-routing the task while driving. In India, deaths due to road accidents are comparatively more than the deaths due to illness. Vehicle crashing and snag location have proved to be the prime factor for these mishaps. At present, the vehicles are well equipped with advanced security systems. However, they lag in terms of a system capable of self-adjusting the driving conditions, especially in the case of haze. The proposed work is focused on enabling the automotive industry by offering a system that is capable of moderating the driving parameters such as speed, direction, braking, etcetera on its own to prevent, an accident. The time-of-flight (TOF) sensors based on the LIDAR principle have been utilized to track and record the vehicles on the road. Furthermore, the sensors used in the Fogminator can easily distinguish the moving and stationary objects of the road. The system can aid in providing increased reaction time to the driver during haze or fog condition i.e.; the driver could become well aware of the obstructions on the road during zero visibility condition. During the operation, the LIDAR sensor estimates the exact distance between the objects and executes various precautionary actions in order to safeguard the passenger. The proposed methodology has an enormous potential to measure the exact distance between the objects during the process and execution of various precautionary actions, in order to safeguard the passenger.