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典型文献
YOLOP:You Only Look Once for Panoptic Driving Perception
文献摘要:
A panoptic driving perception system is an essential part of autonomous driving.A high-precision and real-time perception system can assist the vehicle in making reasonable decisions while driving.We present a panoptic driving perception network(you only look once for panoptic(YOLOP))to perform traffic object detection,drivable area segmentation,and lane detection simultaneously.It is composed of one encoder for feature extraction and three decoders to handle the specific tasks.Our model performs extremely well on the challenging BDD100K dataset,achieving state-of-the-art on all three tasks in terms of accuracy and speed.Besides,we verify the ef-fectiveness of our multi-task learning model for joint training via ablative studies.To our best knowledge,this is the first work that can process these three visual perception tasks simultaneously in real-time on an embedded device Jetson TX2(23 FPS),and maintain excel-lent accuracy.To facilitate further research,the source codes and pre-trained models are released at .
文献关键词:
作者姓名:
Dong Wu;Man-Wen Liao;Wei-Tian Zhang;Xing-Gang Wang;Xiang Bai;Wen-Qing Cheng;Wen-Yu Liu
作者机构:
Hubei Key Laboratory of Smart Internet Technology,School of Electronic Information and Communications,Huazhong University of Science and Technology,Wuhan 430074,China;School of Electronic Information and Communication,Huazhong University of Science and Technology,Wuhan 430074,China;School of Artificial Intelligence and Automation,Huazhong University of Science and Technology,Wuhan 430074,China
引用格式:
[1]Dong Wu;Man-Wen Liao;Wei-Tian Zhang;Xing-Gang Wang;Xiang Bai;Wen-Qing Cheng;Wen-Yu Liu-.YOLOP:You Only Look Once for Panoptic Driving Perception)[J].机器智能研究(英文),2022(06):550-562
A类:
YOLOP,panoptic
B类:
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AB值:
0.643339
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