Characterizing driving behavior using automatic visual analysis

TL;DR

This paper proposes a novel rash driving detection algorithm using a single wide-angle camera, addressing a gap in existing image processing methods that typically rely on other sensors, with a focus on the Indian driving context.

Contribution

It introduces the problem of rash driving detection via image processing, which has not been previously addressed, and outlines an approach and future plans for a detector.

Findings

Identified the need for rash driving detection in Indian traffic.

Proposed a vision-based approach using a single camera sensor.

Outlined future development plans for the detection system.

Abstract

In this work, we present the problem of rash driving detection algorithm using a single wide angle camera sensor, particularly useful in the Indian context. To our knowledge this rash driving problem has not been addressed using Image processing techniques (existing works use other sensors such as accelerometer). Car Image processing literature, though rich and mature, does not address the rash driving problem. In this work-in-progress paper, we present the need to address this problem, our approach and our future plans to build a rash driving detector.