Apollo Intelligent Connectivity (beijing) Technology Co., Ltd.

Junfa Wu

The present disclosure discloses a method for outputting early warning information, a device, a storage medium and a program product, including: acquiring, according to vehicle traveling information, both a preset sensing frame rate and a preset early warning frame rate corresponding to the vehicle traveling information; performing, according to the preset sensing frame rate, sensing processing on acquired sensor data to obtain a sensing result; and determining, according to the sensing result and the preset early warning frame rate, a target early warning frame rate, and performing, according to the target early warning frame rate, early warning processing on the sensing result to obtain an early warning result of the vehicle. Both the number of times of processing the sensor data and the number of times of processing the sensing result can be reduced, and the early warning information is output based on the driving assistance system.

Method for outputting early warning information, device, storage medium and program product

The present disclosure provides a method and apparatus for pushing information, a device and a storage medium, and relates to the field of autonomous driving. An implementation is: acquiring a current location of a vehicle; determining, based on the current location and a position of each POI in a preset set of POIs, a target POI from the set of POIs; and pushing relevant information of the target POI to a head up display of the vehicle.

Method and apparatus for pushing information, device and storage medium

A method and an apparatus for generating a vehicle navigation path includes: acquiring attribute information and trajectory information of a vehicle; generating yaw information of a vehicle based on current road network information of a road network and the trajectory information of the vehicle; acquiring a confidence level of limit information of a road section in the road network within a current time period; and updating the confidence level of limit information of the road section in the road network within the current time period based on the attribute information and the yaw information of the vehicle, and generating a navigation path of the vehicle based on the updated confidence level of limit information.

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Beijing, China

Junfa Wu