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A Multi-modal Data Mining Algorithm for Corner Case of Automatic Driving Road Scene
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Hai Wang1, Guirong Zhang1, Tong Luo3, Meng Qiu2, Yingfeng Cai2, Long Chen2
Automotive Engineering | 2024, 46(7) : 1239 - 1248
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Automotive Engineering | 2024, 46(7): 1239-1248
A Multi-modal Data Mining Algorithm for Corner Case of Automatic Driving Road Scene
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Hai Wang1, Guirong Zhang1, Tong Luo3, Meng Qiu2, Yingfeng Cai2, Long Chen2
Affiliations
  • 1. School of Automotive and Traffic Engineering,Jiangsu University,Zhenjiang  212013
  • 2. Institute of Automotive Engineering,Jiangsu University,Zhenjiang  212013
  • 3. Jiangsu Institute of Technology,Changzhou  213001
Published: 2024-07-25 doi: 10.19562/j.chinasae.qcgc.2024.07.011
Outline
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The development of visual perception technology based on deep learning is beneficial for the advancement of environment perception technology in automatic driving systems. However, for corner cases of autonomous driving scenario, there are still some problems in the current perception model. This is because the ability of the perception model based on deep learning depends on the distribution of the training dataset. Especially when categories in the driving scene never appear in the training set, the perception system is often fragile. Therefore, identifying unknown categories and extreme scenarios remains a challenge for the safety of automatic driving perception technology. From the perspective of processing data sets, in this paper a novel multimodal automatic corner case mining process called "Corner Case Mining Pipeline (CCMP)" is proposed. In order to verify the effectiveness of "CCMP", the concern case subset "Waymo-Anomaly" on the basis of Waymo open datasets is established, with a total of 3 200 images, each of which will contain the corner case scene defined in the text. Then based on the private data set Waymo-Anomaly, it is proved that the recall rate of "CCMP" corner case mining can reach 91.7%. In addition, the effectiveness of object detectors targeting long-tailed distributions in datasets containing corner case is experimentally verified. Ultimately, the authenticity of the automatic driving perception model in the real world is expected to improve from the perspective of datasets processing.

autonomous vehicles  /  deep learning  /  object detection  /  corner case
Hai Wang, Guirong Zhang, Tong Luo, Meng Qiu, Yingfeng Cai, Long Chen. A Multi-modal Data Mining Algorithm for Corner Case of Automatic Driving Road Scene[J]. Automotive Engineering, 2024 , 46 (7) : 1239 -1248 . DOI: 10.19562/j.chinasae.qcgc.2024.07.011
Year 2024 volume 46 Issue 7
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Article Info
doi: 10.19562/j.chinasae.qcgc.2024.07.011
  • Receive Date:2023-11-03
  • Online Date:2025-07-29
  • Published:2024-07-25
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  • Received:2023-11-03
  • Revised:2024-01-15
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Affiliations
    1. School of Automotive and Traffic Engineering,Jiangsu University,Zhenjiang  212013
    2. Institute of Automotive Engineering,Jiangsu University,Zhenjiang  212013
    3. Jiangsu Institute of Technology,Changzhou  213001
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https://castjournals.cast.org.cn/joweb/qcygc/EN/10.19562/j.chinasae.qcgc.2024.07.011
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小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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