Intelligent driving method, device, and vehicle

By collecting road element information through sensors, the physical connectivity between the vehicle and the sampling points is determined, and the driving trajectory is planned. This solves the reliance on high-precision maps in autonomous driving and improves driving safety and decision-making accuracy.

WO2026001777A9PCT designated stage Publication Date: 2026-07-16YINWANG INTELLIGENT TECHNOLOGIES CO LTD
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Patent Information

Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
YINWANG INTELLIGENT TECHNOLOGIES CO LTD
Filing Date
2025-06-18
Publication Date
2026-07-16

AI Technical Summary

Technical Problem

In the field of autonomous driving, vehicle behavior decisions rely on lane topology relationships in high-precision maps, resulting in high costs and poor real-time performance. This can easily lead to lane selection errors and stalling issues, affecting the safety of users.

Method used

By collecting road element information through vehicle sensors, the physical connectivity between the vehicle and multiple sampling points is determined, and the driving trajectory is planned. This eliminates the need to rely on high-precision maps and lane topology relationships, and utilizes road elements and vehicle kinematic models for path search and trajectory planning.

Benefits of technology

It improves user driving safety, avoids lane selection errors and stuck-out issues caused by the poor real-time performance of HD maps, and enhances the accuracy and safety of vehicle decision-making in dynamic environments.

✦ Generated by Eureka AI based on patent content.

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Abstract

Provided in the present application are an intelligent driving method, a device, and a vehicle, which can be applied to the field of intelligent driving. The method comprises: on the basis of data collected by sensors of a vehicle, acquiring information of road elements around the vehicle, the vehicle being at a first position; on the basis of the first position and the information of the road elements, determining the physical connectivity of the vehicle from the first position to each sampling point among a plurality of sampling points; if the physical connectivity indicates that the vehicle is physically connected from the first position to at least some sampling points among the plurality of sampling points, planning a traveling trajectory for the vehicle to travel to the at least some sampling points; and, on the basis of the traveling trajectory, controlling the vehicle. The present application can be applied to intelligent vehicles or electric vehicles. Planning decision-making of vehicles may not depend on high-definition maps and lane topological relationships, thereby helping to improve driving and riding experience of users.
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