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pro vyhledávání: '"Fong, Whye Kit"'
Autor:
Karnchanachari, Napat, Geromichalos, Dimitris, Tan, Kok Seang, Li, Nanxiang, Eriksen, Christopher, Yaghoubi, Shakiba, Mehdipour, Noushin, Bernasconi, Gianmarco, Fong, Whye Kit, Guo, Yiluan, Caesar, Holger
Machine Learning (ML) has replaced traditional handcrafted methods for perception and prediction in autonomous vehicles. Yet for the equally important planning task, the adoption of ML-based techniques is slow. We present nuPlan, the world's first re
Externí odkaz:
http://arxiv.org/abs/2403.04133
Autor:
Fong, Whye Kit, Mohan, Rohit, Hurtado, Juana Valeria, Zhou, Lubing, Caesar, Holger, Beijbom, Oscar, Valada, Abhinav
Panoptic scene understanding and tracking of dynamic agents are essential for robots and automated vehicles to navigate in urban environments. As LiDARs provide accurate illumination-independent geometric depictions of the scene, performing these tas
Externí odkaz:
http://arxiv.org/abs/2109.03805
Autor:
Caesar, Holger, Kabzan, Juraj, Tan, Kok Seang, Fong, Whye Kit, Wolff, Eric, Lang, Alex, Fletcher, Luke, Beijbom, Oscar, Omari, Sammy
In this work, we propose the world's first closed-loop ML-based planning benchmark for autonomous driving. While there is a growing body of ML-based motion planners, the lack of established datasets and metrics has limited the progress in this area.
Externí odkaz:
http://arxiv.org/abs/2106.11810
Akademický článek
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