System and method for autonomous vehicle path selection

By generating and evaluating the complexity of decision points on multiple paths, selecting the optimal path, and adjusting vehicle operations, the inefficiency of path selection and decision point processing in autonomous driving systems is solved, thereby improving navigation efficiency and safety.

CN122237619APending Publication Date: 2026-06-19GM GLOBAL TECHNOLOGY OPERATIONS LLC
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
GM GLOBAL TECHNOLOGY OPERATIONS LLC
Filing Date
2025-01-26
Publication Date
2026-06-19

AI Technical Summary

Technical Problem

Existing autonomous driving systems and methods suffer from inefficiency and high complexity in path selection and decision point processing, making it difficult to effectively select the optimal path and handle complex decision points.

Method used

By generating multiple possible paths, the complexity of decision points on each path is identified and evaluated. The complexity score is calculated based on factors such as road configuration, traffic conditions, and vehicle speed. The path with the lowest complexity and the fewest decision points is selected, and vehicle operations are adjusted to optimize the path.

Benefits of technology

It achieves more efficient path selection and decision point processing, improves the navigation efficiency and safety of autonomous vehicles, and reduces the number of complex decision points and operational complexity.

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Abstract

A method for operating an autonomous vehicle may include generating a plurality of possible paths. The method may further include identifying one or more decision points along each of the plurality of possible paths. The method may further include determining a complexity score for each of the one or more decision points along each of the plurality of possible paths. The method may further include determining an optimal path based at least in part on the complexity scores of each of the one or more decision points along each of the plurality of possible paths. The method may further include adjusting the operation of the autonomous vehicle based at least in part on the optimal path.
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