Vivek Barsaiyan

Indian Institute of Technology Hyderabad

Papers

Total Citations

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About

Vivek Barsaiyan is a researcher at the forefront of autonomous vehicle perception, specializing in LiDAR (Light Detection and Ranging) technology and point cloud processing. His work focuses on the critical challenge of enabling autonomous systems to accurately perceive and navigate their environment through depth sensing and obstacle detection. Barsaiyan’s major contributions include a quantitative comparison of LiDAR point cloud segmentation methods for autonomous vehicles, which systematically evaluates how different algorithms process sensor data to identify obstacles and their speeds. This study, cited 7 times, provides essential benchmarks for improving vehicle safety and reliability. Additionally, his experimental analysis of various multi-channel LiDAR systems, with 6 citations, addresses the limitations of alternative depth-sensing technologies like stereo cameras and radar by demonstrating LiDAR’s superior resolution and range for precise environmental mapping. Together, these works form a foundational toolkit for advancing autonomous driving and robotics, offering practical insights into sensor selection and data processing. Barsaiyan’s research is instrumental for students and engineers seeking to understand the trade-offs in LiDAR-based perception systems, making him a notable contributor to the field of autonomous vehicle technology.