Vehicle control method, device, electronic device, storage medium and program product

By determining the next control state of the vehicle through a preset state machine, the problem of unintelligent control methods in vehicle platoon autonomous driving in complex scenarios in the existing technology is solved, and the intelligent vehicle control method is realized to meet the control needs of various scenarios.

CN114715185BActive Publication Date: 2025-09-12TIANJIN KAL DOG TECH CO LTD
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Patent Information

Application Number
CN202210248097.2
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-03-14
Publication Date
2025-09-12
Estimated Expiration
2042-03-14

AI Technical Summary

Technical Problem

The existing vehicle platoon autonomous driving control method is not intelligent enough in complex scenarios and cannot meet the control requirements of different scenarios, especially in situations such as vehicle insertion, leaving the platoon, and vehicle failure.

Method used

By obtaining the current control state and perception information of the target vehicle, the next control state is determined from a preset state machine, and the vehicle is switched to this state for control. The preset state machine includes the logical relationship between multiple control states.

Benefits of technology

The intelligent vehicle control method has been realized, which can meet the control needs of different scenarios, including teaming, following, adjustment, alarm, emergency stop, parking and manual takeover.

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Abstract

The disclosed embodiments relate to a vehicle control method, apparatus, electronic device, storage medium, and program product. The method comprises: obtaining a target vehicle's current control state and perception information; obtaining the target vehicle's next control state from a preset state machine based on the current control state and the perception information; the preset state machine includes logical relationships between multiple control states; switching the target vehicle from the current control state to the next control state, and controlling the target vehicle based on the next control state. This method can make vehicle control more intelligent, thereby meeting the control requirements of different scenarios.
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