Vehicle Driving Assistant
This work targets the specific issue of road safety and vehicle assistance in India, where potholes are abundant and varied, but it appears incremental as it adapts existing methods to a new regional context.
The paper addresses the problem of pothole detection on Indian roads using visual images, as existing autonomous vehicle features are tailored to foreign roads and struggle with the unique variety of potholes in India, aiming to apply machine learning and image processing techniques for this task.
Autonomous vehicles has been a common term in our day to day life with car manufacturers like Tesla shipping cars that are SAE Level 3. While these vehicles include a slew of features such as parking assistance and cruise control,they have mostly been tailored to foreign roads. Potholes, and the abundance of them, is something that is unique to our Indian roads. We believe that successful detection of potholes from visual images can be applied in a variety of scenarios. Moreover, the sheer variety in the color, shape and size of potholes makes this problem an apt candidate to be solved using modern machine learning and image processing techniques.