More intelligent object tracking developed for safer autonomous driving

University of Toronto PhD student Sandro Papais is the co-author of the paper introducing a graph-based optimisation method to improve object tracking for autonomous cars

University of Toronto PhD student Sandro Papais is the co-author of the paper introducing a graph-based optimisation method to improve object tracking for autonomous cars. Image: University of Toronto

The study claims a system developed by the University of Toronto Institute for Aerospace Studies (UTIAS) that collates 2D images and 3D lidar is better at predicting the future movements of road users than current autonomous vehicles.

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