View source for GUANGZHOU WERIDE TECHNOLOGY LIMITED COMPANY (20240246563). ROUTE DECIDING METHOD, SYSTEM AND DEVICE, AND MEDIUM simplified abstract

=ROUTE DECIDING METHOD, SYSTEM AND DEVICE, AND MEDIUM=


==Organization Name==

[[:Category:GUANGZHOU WERIDE TECHNOLOGY LIMITED COMPANY|GUANGZHOU WERIDE TECHNOLOGY LIMITED COMPANY]]


[[Category:GUANGZHOU WERIDE TECHNOLOGY LIMITED COMPANY]]

==Inventor(s)==

[[:Category:Sisi Li of Guangzhou, Guangdong (CN)|Sisi Li of Guangzhou, Guangdong (CN)]][[Category:Sisi Li of Guangzhou, Guangdong (CN)]]

[[:Category:Zeyin Zhang of Guangzhou, Guangdong (CN)|Zeyin Zhang of Guangzhou, Guangdong (CN)]][[Category:Zeyin Zhang of Guangzhou, Guangdong (CN)]]

==ROUTE DECIDING METHOD, SYSTEM AND DEVICE, AND MEDIUM - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240246563 titled 'ROUTE DECIDING METHOD, SYSTEM AND DEVICE, AND MEDIUM

The patent application describes a method, system, and device for deciding a route for a driverless vehicle by dividing the road into waypoints, calculating costs, and making real-time decisions based on waypoint values.

* Dividing the road into waypoints between the current position of the driverless vehicle and the destination.
* Determining a target waypoint and calculating the global cost to obtain the waypoint value.
* Iteratively calculating waypoint values between the target waypoint and the current position.
* Making real-time decisions based on the waypoint value of the next waypoint to drive to the destination.

Potential Applications:
- Autonomous vehicles navigation systems
- Logistics and transportation optimization
- Urban planning and traffic management

Problems Solved:
- Low route decision efficiency
- Complex optimization problems
- High computing power requirements

Benefits:
- Improved route decision efficiency
- Real-time decision-making capabilities
- Reduced computing power needs

Commercial Applications:
Title: "Advanced Route Decision System for Autonomous Vehicles"
This technology can be used in autonomous vehicle systems for efficient route planning, logistics companies for optimized delivery routes, and smart city initiatives for traffic flow management.

Prior Art:
Prior art related to this technology may include research on autonomous vehicle navigation systems, route optimization algorithms, and real-time decision-making processes in transportation.

Frequently Updated Research:
Researchers are constantly working on improving route decision algorithms for autonomous vehicles, enhancing real-time decision-making capabilities, and reducing computing power requirements for complex optimization problems.

Questions about Route Decision Method for Driverless Vehicles:
1. How does the route decision method improve efficiency in autonomous vehicle navigation?
2. What are the key factors considered in calculating waypoint values for route decisions?


==Original Abstract Submitted==

a route deciding method, system, and device, and a medium. the method comprises: dividing the drivable road between the current position of a driverless vehicle and a destination into a plurality of waypoints; determining a target waypoint from among the waypoints between the current position of the driverless vehicle and the destination, and calculating the global cost from the target waypoint to the destination so as to obtain the waypoint value of the target waypoint; iteratively calculating the waypoint values of the waypoints between the target waypoint and the current position of the driverless vehicle according to the waypoint value of the target waypoint; and determining in real time the action at the current position according to the waypoint value of the next waypoint corresponding to the current position of the driverless vehicle so as to obtain the current route decision result on driving to the destination. the present invention improves the technical problem in existing techniques of low route decision efficiency due to model predictive control being used and complex optimization problems being solved in order to obtain the optimal route decision, and a large amount of computing power being necessary to solve non-linear optimization problems.



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