Vehicle Algorithm Sharing Based on Driving Environment Compatibility
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Solution Overview
Problem
Existing vehicle-mounted devices struggle to provide optimal algorithms for autonomous driving services across various driving environments, as the algorithms stored in advance may not be suitable for different conditions.
Innovation Solution
A vehicle-mounted device system that includes a storage unit for algorithms, an acquisition unit for driving environment information, and a determination unit to assess compatibility and decide whether to share algorithms with other vehicles, ensuring that the most suitable algorithm is provided based on the driving environment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If algorithms are stored in advance in vehicle-mounted devices, then autonomous driving services can be provided, but the algorithms may not be suitable for different driving environments
Solution Approach 1:
The patent implements dynamic algorithm selection and sharing based on driving environment conditions. The vehicle-mounted device determines compatibility between its current driving environment and target vehicle's environment, then dynamically decides whether to share algorithms. This dynamic approach allows the system to adapt to varying driving conditions while maintaining reliable service quality through environment-matched algorithms.
Solution Approach 2:
The patent changes the parameter of algorithm suitability by introducing driving environment compatibility assessment. Instead of using fixed pre-stored algorithms, the system evaluates environmental parameters (road conditions, weather, traffic patterns) and selects or shares algorithms based on compatibility matching. This parameter-based selection ensures both adaptability to different environments and reliability of service quality.
2Productivity
If algorithms are shared between vehicles, then service effectiveness improves, but system complexity increases
Solution Approach 1:
The patent applies local quality by implementing targeted algorithm sharing based on specific driving environment compatibility. Instead of universal algorithm distribution, the system selectively shares algorithms only when environmental conditions match, reducing unnecessary complexity while improving service effectiveness in relevant contexts.
Solution Approach 2:
The patent performs preliminary compatibility assessment before algorithm sharing. The vehicle-mounted device evaluates whether its driving environment is compatible with the target vehicle's environment beforehand, then decides on algorithm sharing. This preliminary action simplifies the overall system by avoiding complex real-time negotiations and ensuring effective sharing only when beneficial.
Data Source
AI summary
A vehicle-mounted device to be mounted on a first vehicle includes: a storage unit configured to store an algorithm related to traveling of the first vehicle; an acquisition unit configured to acquire driving environment information related to a driving environment of a second vehicle different from the first vehicle; and a determination unit configured to determine compatibility related to traveling between the driving environment information and the first vehicle, and determine, in accordance with a determination result of the compatibility, whether to provide the algorithm available for the first vehicle to the second vehicle.