Vaibhav Darbari

Papers

Total Citations

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About

Vaibhav Darbari is a researcher whose work sits at the intersection of computer vision, autonomous systems, and intelligent infrastructure monitoring. He is best known for his contributions to real-time road condition analysis, most notably through his 2018 paper "Crack-pot: Autonomous Road Crack and Pothole Detection," which has garnered 78 citations and stands as a landmark contribution to the field. This work addressed a critical challenge in the advancement of self-driving vehicles and autonomous robotics — the reliable, real-time detection of road impairments such as cracks and potholes, enabling systems to perform evasive maneuvers and ensure passenger and equipment safety. By proposing a fully autonomous and robust detection pipeline, Darbari helped bridge the gap between theoretical computer vision research and practical deployment in intelligent transportation systems. His research reflects a broader commitment to making autonomous navigation safer and more reliable in real-world environments. The significant citation impact of his work underscores its relevance to both academic researchers and industry practitioners working on smart mobility, infrastructure assessment, and the continued evolution of self-driving technology.