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Review on Advanced Autonomous Driving Data Acquisition and Storage Technology
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Haoyuan Zhao1, Jinlai Liu1, Zihao Yu1, Tao Wu1, Tianjun Sun1, 2
Automobile Technology | 2024, (2) : 1 - 16
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Automobile Technology | 2024, (2): 1-16
Review on Advanced Autonomous Driving Data Acquisition and Storage Technology
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Haoyuan Zhao1, Jinlai Liu1, Zihao Yu1, Tao Wu1, Tianjun Sun1, 2
Affiliations
  • 1 Jilin University, Changchun 130022
  • 2 State Key Laboratory of Automobile Simulation and Control, Jilin University, Changchun 130022
Published: 2024-02-24 doi: 10.19620/j.cnki.1000-3703.20230766
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In view of the trigger control and storage-recording in the process of automatic driving data collection, this paper started from advanced automatic driving data acquisition technology and advanced automatic driving storage technology, firstly investigated the sensor configuration methods of China and foreign automakers, then reviewed the automobile Event Data Recorder (EDR) system, autonomous driving data recording system and general L3 level autonomous vehicle data acquisition and storage schemes, and concluded that the existing data acquisition and storage technology could generate low quality and high noise redundant data. Finally, based on Tesla’s Shadow Mode, the paper introduced a driving data acquisition and storage method for man-machine co-driving mode, and summarized the development trend of advanced autonomous driving data acquisition technology.

Autonomous driving  /  Data acquisition  /  Data storage  /  Shadow mode
Haoyuan Zhao, Jinlai Liu, Zihao Yu, Tao Wu, Tianjun Sun. Review on Advanced Autonomous Driving Data Acquisition and Storage Technology[J]. Automobile Technology, 2024 , (2) : 1 -16 . DOI: 10.19620/j.cnki.1000-3703.20230766
Year 2024 volume Issue 2
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doi: 10.19620/j.cnki.1000-3703.20230766
  • Online Date:2025-12-25
  • Published:2024-02-24
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    1 Jilin University, Changchun 130022
    2 State Key Laboratory of Automobile Simulation and Control, Jilin University, Changchun 130022
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表12种不同金属材料的力学参数

Family
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Number of
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种数
Number of
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占总种数比例
Percentage of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
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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