Method for determining route planning based on azimuth angle

Through azimuth-based route planning method, combined with environmental information and obstacle locations, the real-time and accuracy problems of route planning in complex and dynamic environments in the prior art are solved, and more flexible and high-precision route planning is achieved.

CN119642797APending Publication Date: 2025-03-18YUKUAI CHUANGLING INTELLIGENT TECH (NANJING) CO LTD
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Patent Information

Application Number
CN202411727540.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-28
Publication Date
2025-03-18

AI Technical Summary

Technical Problem

Existing route planning methods are limited in real-time and accuracy in complex and dynamic environments, and are particularly difficult to respond to obstacles and emergencies in unknown or irregular environments.

Method used

The azimuth-based route planning method is adopted, and the azimuth between the starting point and the target position is calculated, and the path is dynamically adjusted to adapt to environmental changes by combining environmental information and obstacle positions.

Benefits of technology

This method simplifies the path planning process, reduces dependence on complex map data, improves the flexibility and accuracy of route planning, and is suitable for application scenarios with high precision requirements such as autonomous driving and drone navigation.

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Abstract

The invention provides a method for determining route planning based on an azimuth angle. The method comprises the following steps: S1, calculating the azimuth angle between a starting point and a target position; s2, environment information is acquired, and the position of an obstacle is identified; s3, correcting the azimuth angle according to the position of the obstacle, and adjusting the path; s4, optimizing a path and determining a final route; and S5, executing the planned route. By acquiring the environment information in real time and identifying the obstacle, the system can dynamically adjust the path according to the change of the obstacle, collision is effectively avoided, and driving safety is ensured. The path optimization not only considers obstacles, but also comprehensively considers various factors such as terrain, traffic and the like, so that the final path is more efficient, and time and energy are saved. According to the method, various dynamic factors in a complex environment can be processed in real time, and the method is suitable for various complex scenes such as urban roads and indoor navigation. Azimuth angle correction and path optimization can improve the overall navigation precision, and more reliable and accurate path planning can be provided especially in a complex or unknown environment.
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