China Automotive Technology and Research Center Co. Ltd

Catarc Automotive Test Center (tianjin) Co., Ltd

Catarc New Energy Vehicle Test Center (tianjin) Co., Ltd.

Catarc Automotive Test Center (guangzhou) Co., Ltd.

Catarc Software Testing (tianjin) Co., Ltd.

Guokai Jiang

Hui Rong

Hanbing Wu

Jinfeng Gong

Zhao Wang

Hang Sun

Guotian Ji

Jiaxu Feng

Xu Zhang

Weinan Ju

Liang Huang

Jiaoyang Liu

Lijuan Cao

Liping Liu

Yan Fan

Guangyu Zhang

Manna Wang

Yunlei Zhang

Qiujun Zhao

Jiarui Zhang

Quan Wen

Jingjing Hao

Yongjian Zhu

Longfei He

Shimeng Wang

Zhiruo Zhang

Yifu Ding

Zhipeng Sun

Baofeng Huo

Yu Su

Disclosed are an OTA test method for a vehicle antenna system, a device and a storage medium. According to the method, the radio frequency performance of a physical layer of a whole vehicle antenna system can be tested, and the problem in the prior art that the test result of parts cannot accurately reflect the performance of the whole vehicle antenna system can be solved.

OTA test method for vehicle antenna system, device, and storage medium

A testing method for a blind spot detection system for an automobile includes: applying an electromagnetic interference signal to the tested automobile through an electromagnetic interference signal application device, meanwhile, simulating a static obstacle or a moving obstacle within a detection range through a testing device, and if the blind spot detection system for the tested automobile is activated, determining that the testing is passed. Repeatable and reproducible testing for the electromagnetic safety of the blind spot detection system may be realized.

Testing method for blind spot detection system for automobile, device, and medium

In some embodiments, the present disclosure provides an algorithm for a data-driven intelligent adaptive model of an automobile cab based on a biometric identification technology. The algorithm includes the following steps: acquiring driving posture data, the driving posture data including driver information, automobile man-computer parameter information, and seat position information; building a feature extraction model of the driving posture data and screening feature vectors playing a significant role in predicting a seat position by the feature extraction model; building a prediction model of a comfortable seat position by a back propagation (BP) neural network and inputting the screened feature vectors to perform training on the prediction model; and inputting specific feature vectors to obtain the seat position information and accordingly adjust the seat position.

Model of automotive cabin based on biometric identification technology

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Tianjin, China

Guokai Jiang