Pranav Sriram

Papers

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About

Pranav Sriram is a researcher at the intersection of autonomous driving, cognitive science, and computer vision. His work focuses on understanding and predicting driver attention to enhance safety in intelligent vehicles. Sriram’s most notable contribution is the CoCAtt dataset, introduced in his highly cited 2022 paper, which provides a cognitive-conditioned framework for driver attention prediction. This work addresses a critical gap in autonomous systems by modeling how human cognitive states influence visual attention during driving—a key factor in preventing collisions and reducing casualties. With 11 citations, CoCAtt has already become a foundational resource for researchers in robotics and autonomous vehicle safety. Sriram’s research uniquely bridges human cognition and machine perception, offering insights that could make self-driving systems more responsive to real-world human behavior. His work is particularly valuable for students and engineers seeking to build safer, more human-aware autonomous technologies.