K. Madhav Krishna
International Institute of Information Technology, Hyderabad
Papers
1
Total Citations
4
H-Index
1
About
K. Madhav Krishna is a researcher in autonomous vehicle perception and computer vision, with a focus on enhancing safety in real-world driving environments. His key contributions lie in obstacle detection for autonomous ground vehicles, particularly addressing the challenge of identifying small and medium-sized hazards—such as rocks, boulders, and bricks—that often go undetected by conventional depth sensors and point cloud maps. His most cited work, "Small obstacle detection using stereo vision for autonomous ground vehicle" (2017), has garnered 4 citations and highlights a critical gap in autonomous driving systems: the inability to recognize low-profile obstacles that pose risks in both human and autonomous driving scenarios. By leveraging stereo vision techniques, Krishna’s research improves the reliability of hazard perception, contributing to safer navigation for self-driving vehicles. His work underscores the importance of bridging the gap between state-of-the-art sensor capabilities and the nuanced demands of real-world road conditions, making him a notable voice in the ongoing effort to refine autonomous vehicle safety systems.
Research Focus
Key Achievements
Top Papers
- 1