Sohini Roychowdhury

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About

Sohini Roychowdhury’s research advances the frontier of autonomous driving perception, with a focus on long-range sensing and robust 3D object detection. Her most cited work introduces the Cirrus dataset, a pioneering long-range bi-pattern LiDAR benchmark that captures critical highway driving scenarios. By equipping a platform with high-resolution video and paired LiDAR sensors extending to 250 meters, Cirrus addresses a key gap in existing datasets, enabling safer and more timely decision-making for autonomous vehicles. This contribution has garnered 26 citations, reflecting its importance in the field. Beyond dataset creation, Roychowdhury’s work emphasizes the integration of multi-modal sensor data to improve detection accuracy at extreme distances, directly impacting real-world deployment. Her research is instrumental for students and engineers tackling the challenges of high-speed, long-range perception, and her dataset serves as a vital resource for developing next-generation autonomous systems.