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Ben Agro
Affiliation
Waabi, University of Toronto
Topic
Path Planning,Autonomous Vehicles,Object Detection,Objects In The Scene,Query Point,Bounding Box,Lane Change,Occupancy Grid,Occupancy Probability,Point Cloud,Receptive Field,Simultaneous Localization And Mapping,Time Step,Trajectory Prediction,3D Bounding Box,3D Space,Ablation,Additional Substitutions,Angular Resolution,Annotation Process,Backward Flow,Bird’s Eye,Camera Pose,Candidate Solutions,Constraint Matrix,Continuous Field,Convolutional Neural Network,Coordination Sphere,Cost Function,Current Time Step,Decoder Architecture,Dense Grid,Discrete Set,Dual Theory,Dynamic Objects,Emission Time,Example In Section,Expert Demonstrations,Explicit Method,First Row Of Fig,Flow Field,Flow Prediction,Flow Vector,Forward Flow,Free Space,Frustum,Future Motion,Future Residents,Future Time,Future Trajectories,
Biography
Ben Agro received the B.A.Sc. degree in engineering science, specializing in robotics, from the University of Toronto, Toronto, ON, Canada, in 2023, where he is currently working toward the Ph.D. degree in computer science under Prof. Raquel Urtasun.
He is a Research Scientist with Waabi, Toronto, Canada, an autonomous trucking company, working on their perception and forecasting systems. His research interests include self-supervised methods and representation learning, object detection, trajectory forecasting, and occupancy forecasting.
He is a Research Scientist with Waabi, Toronto, Canada, an autonomous trucking company, working on their perception and forecasting systems. His research interests include self-supervised methods and representation learning, object detection, trajectory forecasting, and occupancy forecasting.