Coda: A real-world road corner case dataset for object detection in autonomous driving

K Li, K Chen, H Wang, L Hong, C Ye, J Han… - … on Computer Vision, 2022 - Springer
Contemporary deep-learning object detection methods for autonomous driving usually
presume fixed categories of common traffic participants, such as pedestrians and cars. Most …
被引用次数：66 相关文章

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving

K Li, K Chen, H Wang, L Hong, C Ye, J Han… - arXiv preprint arXiv …, 2022 - arxiv.org
Contemporary deep-learning object detection methods for autonomous driving usually
assume prefixed categories of common traffic participants, such as pedestrians and cars …

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving

K Li, K Chen, H Wang, L Hong, C Ye, J Han… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Contemporary deep-learning object detection methods for autonomous driving usually
assume prefixed categories of common traffic participants, such as pedestrians and cars …

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving

K Li, K Chen, H Wang, L Hong, C Ye, J Han… - … on Computer Vision, 2022 - dl.acm.org
Contemporary deep-learning object detection methods for autonomous driving usually
presume fixed categories of common traffic participants, such as pedestrians and cars. Most …