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Tutorial
Machine Learning for Autonomous Vehicles
Raquel Urtasun · Andrew Gray · Carl Wellington
The tutorial will cover core machine learning topics for self-driving cars. The objectives are (1) to call to arms of researchers and practitioners to tackle the pressing challenges of autonomous driving; (2) equip participants with enough background to attend the companion workshop on ML for autonomous vehicles. Machine learning holds the key to solve autonomous driving. Despite recent advances, major problems are far from solved both in terms of fundamental research and engineering challenges.
Author Information
Raquel Urtasun (University of Toronto)
Andrew Gray (Uber Technologies)
Carl Wellington (Uber ATG)
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