A vehicle motion trajectory prediction method and system based on quantum computing

By combining quantum computing with sensors and brain-computer interface technology, a driver behavior information database is built to evaluate path possibilities, solving the problem of ignoring driver emotions and intentions in existing technologies, and achieving more accurate vehicle motion trajectory prediction and safe driving.

CN120057040BActive Publication Date: 2025-09-16HANGZHOU SANY QIANCHENG TECH CO LTD
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Patent Information

Application Number
CN202510341254.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-03-21
Publication Date
2025-09-16
Estimated Expiration
2045-03-21

AI Technical Summary

Technical Problem

Existing vehicle motion trajectory prediction methods ignore the driver's emotions and intentions and lack an effective risk assessment mechanism, resulting in insufficient prediction accuracy.

Method used

Using a quantum computing-based method, environmental data is obtained through multiple sensors, combined with a brain-computer interface to monitor the driver's emotions and intentions, build a driver behavior information database, use quantum computing to evaluate path possibilities, and output the optimal path.

Benefits of technology

It improves the accuracy and safety of vehicle motion trajectory prediction, can quickly process complex environmental information, reduce accident risks, and enhance adaptability to dynamic environments.

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Abstract

This invention discloses a method and system for predicting vehicle motion trajectories based on quantum computing, relating to the field of vehicle technology. The system includes recording basic vehicle information and detecting environmental data using multiple sensors; using a brain-computer interface to monitor the driver's emotions and assess their driving intentions; calculating the vehicle's kinematic parameters based on basic vehicle information, and building a driver behavior information database based on environmental data and the driver's driving intentions; making a preliminary prediction of the vehicle's path, evaluating the likelihood using quantum computing, and outputting the optimal path; and calculating the vehicle's ideal lateral position based on the latest environmental data and basic vehicle information, integrating the kinematic parameters and the optimal path to obtain the vehicle's predicted complete motion trajectory. By introducing brain-computer interface technology to monitor the driver's emotional state and assess their driving intentions in real time, the accuracy of vehicle motion trajectory prediction is significantly improved.
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