Huawei Technologies Co., Limited

Shenzhen Yinwang Intelligent Technologies Co., Ltd.

Weilong Hu

Huawei Liu

Yabing Zhou

Xupeng Li

Yangjie Pan

Tao Ding

Shunyao Wang

Chaoyue Chen

Dongdong Yang

The present disclosure relates to vehicle positioning methods, apparatus, controllers, intelligent vehicles, and systems. One example vehicle positioning method includes obtaining a first relative pose between a first vehicle and a help providing object, obtaining a global pose of the help providing object, and calculating a global pose of the first vehicle based on the first relative pose and the global pose.

Vehicle positioning method, apparatus, and controller, intelligent vehicle, and system

An intelligent driving method comprising: obtaining feature parameters of a vehicle at a current moment and a road attribute of a driving scenario of the vehicle in a preset future time period; comparing the feature parameters at the current moment with feature parameters of a standard scenario in a scenario feature library; comparing the road attribute of the driving scenario of the vehicle in the preset future time period with a road attribute of the standard scenario in the scenario feature library; determining a total similarity of each scenario class to a driving scenario of the vehicle at the current moment based on comparing results; determining, as the driving scenario at the current moment, a first scenario class with a highest total similarity in N scenario classes; and controlling, based on the determining result, the vehicle to perform intelligent driving.

Intelligent driving method and intelligent driving system

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Shenzhen, China

Weilong Hu