Parking Area Data Collection and Scenario Extraction for the Purpose of Automatic Parking ADAS Function

• Published in: IOP conference series. Materials Science and Engineering Vol. 780; no. 3; pp. 32026 - 32035
• Main Authors: Wang, Lei, Yu, Bo, Chen, Chao
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.03.2020
• Subjects: Algorithms; Big Data; Data analysis; Data collection; Data integration; Data processing; Hardware; Mass production; Parking; Radar data
• ISSN: 1757-8981; 1757-899X; 1757-899X
• DOI: 10.1088/1757-899X/780/3/032026

Automatic Parking is the most significant ADAS function that could achieving mass production in the field of unmanned driving. For the purpose of automatic parking function, we're foundamentally facing the corresponding data collection and data analysis.In view of three classical parking scenarios,this paper is concentrating on three contents including the sensor hardware construction, the perception algorithm development,and scenario data analysis.For the the hardware construction,we focus on the sensor installation,time calibration,and space unification.Based on the front camera and RADAR data fusion,we put great emphasis on the multi-target matching and fusion algorithm. And for the purpose of the scenario extraction and big data analysis work, we are developing automatic big data processing Python code,realizing TB level original data labeled, and data completely processed in short time.The whole technology process and tool chain in this program,have extensively high level scientific research and commercial value