Our lab works on solving problems related to autonomous navigation of robots with focus on sensing, perception, planning and decision making. It is not possible to pre-program the autonomous systems for all possible situations that they need to operate on. Autonomous robots have to be intelligent enough to learn from what they observe, similar to the way we humans do. We work on solving some of these challenging problems using fused sensor data and deep neural networks.
Video Courtesy - Ford Motor Company
Paper accepted for publication in IEEE Transactions on Intelligent Transportation Systems - "Infrastructure Enabled Guided Navigation for Visually Impaired"
Paper accepted for publication in IEEE Transaction on Intelligent Transportation Systems - "Advancing LiDAR Intensity Simulation through Learning with Novel Physics-Based Modalities"