Title:
DRIVING-BEHAVIOR RECOGNITION METHOD, APPARATUS, ELECTRONIC DEVICE, AND STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2021/115133
Kind Code:
A1
Abstract:
The present application relates to the technical field of artificial intelligence, and provides a driving-behavior recognition method, apparatus, electronic device, and storage medium; the method is: determining, according to a driving-behavior recognition request, a driver to be tested; obtaining driving behavior data and navigation data of the driver to be tested, the navigation data comprising a plurality of longitudes, a plurality of latitudes, and a plurality of time points; creating a trajectory node network on the basis of the plurality of longitudes, the plurality of latitudes, and the plurality of time points, and extracting trajectory feature information; converting the driving behavior data into a first vector, and converting the trajectory feature information into a second vector; fusing the first vector and the second vector to obtain a target vector, and inputting the target vector into a pre-built binary classification model to obtain a driving recognition result; the present application can improve the efficiency of driving behavior recognition and the accuracy of driving behavior recognition. In addition, the present application also relates to blockchain technology, and the driving recognition result can be stored on the blockchain.
Inventors:
ZENG SIMIN (CN)
ZHANG JACK (CN)
ZHENG YUE (CN)
XU QIANG (CN)
ZHANG JACK (CN)
ZHENG YUE (CN)
XU QIANG (CN)
Application Number:
PCT/CN2020/131953
Publication Date:
June 17, 2021
Filing Date:
November 26, 2020
Export Citation:
Assignee:
PING AN TECH SHENZHEN CO LTD (CN)
International Classes:
G06Q10/06
Foreign References:
| CN111325437A | 2020-06-23 | |||
| CN110631594A | 2019-12-31 | |||
| CN109214107A | 2019-01-15 | |||
| CN111310583A | 2020-06-19 |
Other References:
ZHANG GUOYIN; TAN FENG; WU YANXIA: "Ship Motion Attitude Prediction Based on an Adaptive Dynamic Particle Swarm Optimization Algorithm and Bidirectional LSTM Neural Network", IEEE ACCESS, IEEE, USA, vol. 8, 11 May 2020 (2020-05-11), USA, pages 90087 - 90098, XP011790042, DOI: 10.1109/ACCESS.2020.2993909
Attorney, Agent or Firm:
SHENZHEN SCIENBIZIP INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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