I am currently a PhD candidate at the University of Toronto Institute for Aerospace Studies (UTIAS). I work under the supervision of Professor Steven Waslander as a part of the Toronto Robotics and Artificial Intelligence Laboratory(TRAIL). I specialize in perception algorithms for autonomous driving. Specifically, I work on fundamental research within 2D and 3D object detection, semantic segmentation, uncertainty estimation for deep neural networks, and synthetic data generation.
MY LATEST RESEARCH
The results of our probabilistic object detector, BayesOD on the KITTI 2D object detection dataset. BayesOD provides reliable estimates of uncertainty for the category and the bounding box of all objects in the scene.
The results of the 3D object detector me and my team designed. The detector runs at 13 Hz with a 2GB memory foot print making it an optimal candidate to be deployed on autonomous vehicles.