AI Abnormal Driving Behaviour Detection CSR Project for Safer Roads

Low-Cost Solution for Abnormal Driving Behavior Detection using Multi-Source Data Fusion

Objective

• Develop automated machine vision models to identify fatigue or attention diversion of Indian drivers., Analyze the driving behavior to detect any kind of rash/aggressive/abnormal driving behavioral of drivers., Fusion of the above two to detect any behavioral impairment in the driving., To investigate the significant factors influencing the behavioral impairment/aggressiveness among drivers., To develop a driving monitoring prototype/application that can be used for alerting the drivers about unsafe driving behavior.

Description

• Driving safety is of paramount importance to all drivers and hence this proposed solution is important to all drivers in terms of making the driving safer by alerting them about unsafe driving in real time. This solution is of particular interest to professional drivers such as bus and taxi drivers who spend more time behind the wheel as compared to other drivers., The research aims to analyze the behavior of drivers under lane less and heterogeneous traffic conditions.

Impact

• By accurately identifying behaviors such as distracted driving, fatigue, and aggressive maneuvers, this research can significantly enhance road safety., The developed model can be integrated into Advanced Driving Assistance System (ADAS) to provide real-time alerts for drivers to enhance their safety., Insurance companies can leverage the proposed solution to assess driver behavior accurately. Using such information, insurance premiums can be adjusted based on individual driving patterns, promoting responsible driving.