Shivam Kohli

Papers

Total Citations

H-Index

About

Shivam Kohli is a researcher whose work sits at the intersection of computer vision, autonomous systems, and intelligent infrastructure monitoring. His most recognized contribution, "Crack-pot: Autonomous Road Crack and Pothole Detection" (2018), has garnered 78 citations and represents a significant advancement in real-time road impairment detection. In this work, Kohli developed a fully autonomous, robust system capable of identifying cracks and potholes on road surfaces — a critical capability as self-driving vehicles and autonomous robots become increasingly prevalent. By enabling machines to detect and respond to road hazards in real time, his research directly addresses the practical challenge of ensuring safe, smooth navigation for passengers and sensitive onboard equipment alike. Kohli's contributions bridge the gap between theoretical computer vision techniques and applied autonomous systems, demonstrating a strong commitment to research with tangible real-world impact. His work has resonated within the robotics and transportation communities, influencing subsequent research in infrastructure inspection and autonomous navigation. For students and researchers exploring intelligent transportation systems or deep learning-based defect detection, Kohli's scholarship offers a compelling and practically grounded foundation to build upon.