Ontario Train Autonomy Collaboration (OnTRAC) Project (April 2019 – March 2021) is to develop and demonstrate a prototype system of a high-performance Obstacle Detection, Classification and Tracking (ODCT) solution to support the Autonomous Vehicle Recovery capability of Level 1 (LoRA1) trains. A total of $2.6M project is supported by Autonomous Vehicle Innovation Network – AV R&D Partnership Fund – Stream 2 which is administrated by Ontario Centres of Excellence (OCE). The project collaborators are Thales Canada Inc., TrackGen Solutions Inc. and Neptec Technologies Corp. York University is leading to develop deep learning algorithms for object detection using cameras and LiDAR point clouds.
Our lab will lead the development of deep learning-based perception pipelines which enables detecting rail tracks, wayside objects and moving obstacles using cameras and laser scanning data.
