Obstacle Detection of Vehicles Under Fog

Lalithamani Nithyanandham (Amrita School of Engineering, Coimbatore, India)

Obstacle detection of vehicles is important for driver safety. If there is any obstacle in the road it may cause accidents as well as it affects the traffic flow of vehicles. To prevent such accidents, it is important to study detection of obstacles in real time. But it is difficult to analyze due to factors related to shadow and/or sudden changes in the environment and obstacles ahead of the vehicle. Fog is one of the important environmental changes that can cause vehicles not to identify the object in-front. This paper aims to design a new approach for obstacle detection which is based on moving objects. This approach is more useful for identifying the different and the minute obstacles in which the fog covers the object, so that driver assistance is provided and acquires more safety. We focus on factors such as: i) classification of fog (dense fog, moderate fog and high fog), ii) how long the distance the driver can see nearby vehicle or obstacle and iii) under each types of fog how much would be the maximum distance of visibility. The vehicle to vehicle visibility distance measurement and obstacle to vehicle distance measurement can be calculated using visual aids.

Journal: International Journal of Simulation- Systems, Science and Technology- IJSSST V20

Published: Feb 28, 2019

DOI: 10.5013/IJSSST.a.20.01.27