Tencent Technology (shenzhen) Company Limited

Tencent Technology Company Limited

Menglin Chen

Bingguo Li

Shuaiwen Yang

Wangyu Xiao

Qianbiao Xiang

Zongchang Jie

A vehicle control method can include enabling a temporary parking mode of a first vehicle parked at a first temporary parking location, in which a first detection sensor of the first vehicle is in an enabled mode. A trigger feature within a preset range of the first vehicle can be detected based on the first detection sensor. The trigger feature can indicate occurrence of an event associated with a second vehicle or a human appears within the preset range. The first vehicle can be moved to a second parking location in the parking area.

Vehicle control method and apparatus, and storage medium

Embodiments of the present disclosure disclose a voice activation method, an apparatus, an electronic device, and a storage medium thereof. The voice activation method includes: capturing a voice signal in a vehicle; calculating an acoustic score of an activation keyword extracted from the voice signal, the acoustic score being used for indicating authenticity of the activation keyword, the authenticity of the activation keyword being a probability that the activation keyword is used for waking up the electronic device to perform a voice activation operation, and a magnitude of the acoustic score being positively correlated to a magnitude of the probability; determining a voice activation threshold according to a noise level in the vehicle, a magnitude of the voice activation threshold being negatively correlated to a magnitude of the noise; and performing the voice activation operation when the acoustic score is greater than the voice activation threshold.

Voice activation method, apparatus, electronic device, and storage medium

A route-deviation recognition method is provided. The method includes obtaining a current positioned-location; and determining a candidate region covering the positioned-location. Road network data corresponding to the candidate region is obtained to generate a plurality of road-segment tree structures according to the obtained road network data. The method also includes obtaining a matching weight between the positioned-location and each road-segment branch in each of the road-segment tree structures. Further, according to the matching weight, a road-segment branch matching the positioned-location is determined as a matched road-segment branch. The method further includes, when the matched road-segment branch does not belong to a planned navigation route, determining that route-deviation occurs.

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Shenzhen, China

Menglin Chen