Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions

Advances in perception for self-driving cars have accelerated in recent years due to the availability of large-scale datasets, typically collected at specific locations and under nice weather conditions. Yet, to achieve the high safety requirement, these perceptual systems must operate robustly unde...

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Veröffentlicht in:	arXiv.org 2022-08
Hauptverfasser:	Diaz-Ruiz, Carlos A, Xia, Youya, You, Yurong, Nino, Jose, Chen, Junan, Josephine, Monica, Chen, Xiangyu, Luo, Katie, Wang, Yan, Emond, Marc, Wei-Lun, Chao, Hariharan, Bharath, Weinberger, Kilian Q, Campbell, Mark
Format:	Artikel
Sprache:	eng
Schlagworte:	Annotations Anomalies Autonomous cars Data collection Datasets Driving conditions Image segmentation Object recognition Pedestrians Perception Rain Snow Traffic Weather
Online-Zugang:	Volltext
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