Research Intern

Worked as a Research Intern at the Centre of Artificial Intelligence and Robotics Lab, DRDO.
Worked on a project to detect pedestrians and then predict their trajectories from the JAAD and PIE datasets.
Used Pedestron for the detection of pedestrians for both first-person view (FPV) and bird’s-eye view (BEV) scenarios.
Used conditional variational autoencoder (CVAE) with recurrent neural networks (RNNs) to encode observed trajectories and decode future trajectories.
The detection and prediction results were good and the whole system was deployed on a Robot.