Obstacle classification method and apparatus based on unmanned vehicle, device, and storage medium

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United States of America

PATENT NO 11295144
APP PUB NO 20200065592A1
SERIAL NO

16515985

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Abstract

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An obstacle classification method and apparatus based on unmanned vehicle, a device, and a storage medium are provided. The method includes: obtaining obstacle information of a plurality of obstacles detected by a detection device of the unmanned vehicle; and performing classification processing on the obstacle information using a compressed random forest model, to obtain a result of obstacle classification, where a non-leaf node of each decision tree of the compressed random forest model stores only feature index information, classification threshold index information and node position index information, the node position index information is left or right node position index information; a leaf node of each decision tree stores only class index information. Only part of information needs to be stored, and there is no need to occupy more memory and space of the unmanned vehicle system, thereby reducing the memory occupancy, and improving the speed and efficiency of classification.

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Patent Owner(s)

  • BAIDU ONLINE NETWORK TECHNOLOGY (BEIJING) CO., LTD.

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Guo, Jiang Haidian District Beijing, CN 20 93

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