R. Urtasun

Toyota Motor Corporation (United States)

Papers

Total Citations

14,348

H-Index

About

Raquel Urtasun is a pioneering force at the intersection of computer vision and autonomous driving, with a research focus on 3D perception, probabilistic graphical models, and self-supervised learning. Her most transformative contribution is the creation of the KITTI Vision Benchmark Suite, which provided the first standardized, real-world dataset for evaluating autonomous driving algorithms. The landmark paper, "Are we ready for autonomous driving? The KITTI vision benchmark suite," has amassed over 14,000 citations, fundamentally reshaping the field by enabling rigorous comparison of stereo, optical flow, and object detection methods. Beyond KITTI, Urtasun has made seminal advances in learning from unlabeled data, developing algorithms that allow self-driving cars to understand complex urban environments with minimal human annotation. As a Professor at the University of Toronto and founder of the Uber ATG Toronto research lab, she has mentored a generation of top researchers. Her work has earned her numerous accolades, including a Canada CIFAR AI Chair and the prestigious NSERC E.W.R. Steacie Memorial Fellowship, cementing her legacy as a visionary who built the foundational tools for safe autonomous navigation.