Autonomous Vehicle Route Control Using Reliable Shared Road Data
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Solution Overview
Problem
The reliability of information regarding a vehicle's traveling environment decreases over time, and existing technologies struggle to efficiently generate and maintain reliable information for wide-area automatic driving.
Innovation Solution
A vehicle control method and system that utilizes specific time and following time traveling environment information, complemented by temporary change map data and update information, to ensure accurate and reliable traveling control, even in areas without dedicated lanes for autonomous driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traffic information is supplied via broadcast signal or beacon to enable autonomous driving control, then the vehicle can perform traveling control based on external information, but the reliability of this information decreases over time as the traveling environment changes
Solution Approach 1:
The system performs preliminary actions by having preceding vehicles collect and upload traveling environment information to the server before subsequent vehicles need it. The server stores this information in advance, so when a vehicle requests information for a specific location, the most recent reliable data is already available, reducing time delay while maintaining reliability.
Solution Approach 2:
The system implements feedback by continuously collecting actual traveling environment information from vehicles that have passed through specific locations and uploading it to the server. This feedback loop ensures the server maintains updated information about road conditions, obstacles, and environmental factors, allowing subsequent vehicles to receive reliable, recently updated data.
2Reliability
If the system collects and processes traveling environment information from multiple vehicles to maintain high reliability, then the information accuracy improves, but the system complexity and data processing requirements increase
Solution Approach 1:
The server acts as an intermediary that centralizes the collection, storage, and distribution of traveling environment information. Instead of vehicles directly communicating with each other or maintaining complex peer-to-peer networks, the server mediates all information exchange, simplifying the overall system architecture while enabling reliable information sharing across multiple vehicles.
Solution Approach 2:
The system uses copying by having the server store copies of traveling environment information collected from preceding vehicles. When subsequent vehicles need information about a specific location, they receive copied data from the server rather than requiring direct real-time communication with the original data source, reducing system complexity while maintaining information reliability.
3Reliability
If the system requires dedicated lanes for autonomous driving to ensure reliable information availability, then the reliability of autonomous driving control improves, but the adaptability to general road networks decreases
Solution Approach 1:
The server-based information sharing system provides universal service to all vehicles regardless of whether they are in dedicated autonomous driving lanes or general traffic areas. The same infrastructure and communication protocols serve both specialized and general road networks, enabling autonomous driving technology to adapt to diverse road types without requiring separate systems.
Solution Approach 2:
The system segments the information collection and sharing function from the physical road infrastructure. Instead of requiring dedicated physical lanes with embedded communication systems, the information infrastructure is separated and delivered via wireless communication networks, allowing autonomous driving to operate on any road type that supports standard communication protocols.
Data Source
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AI summary
A system for an autonomous vehicle that receives driving environment information corresponding to a driving environment provided by another autonomous vehicle, and determines a navigation route based on a degree of reliability of the driving environment information provided by the another autonomous vehicle.