Vehicle Route Verification Using Environmental Model Consistency Checks
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Solution Overview
Problem
Conventional concepts for autonomous driving do not effectively handle false information in exceptional traffic situations, lacking a robust mechanism for verifying external route proposals, which can be manipulated and unreliable.
Innovation Solution
A computer-implemented method within a vehicle and network component that uses an environmental model determined by the vehicle's sensors to verify external route proposals by performing consistency checks, improving the quality of the environmental model through network feedback and adapting it based on confidence levels, ensuring the proposed route is reliable and secure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If external route proposals are used to resolve exceptional traffic situations, then the vehicle can obtain alternative routing information, but the reliability of the route information may be compromised due to potential manipulation
Solution Approach 1:
The system performs preliminary consistency checks on external route proposals by comparing them against the environmental model before accepting and executing the route. This advance verification prevents manipulation from compromising safety, while still allowing external information to be utilized for resolving exceptional situations.
Solution Approach 2:
The system provides feedback to the external source about the consistency verification results of route proposals. This feedback mechanism enables the system to identify and reject manipulated information while maintaining the ability to accept valid external routing suggestions, thus resolving the contradiction between reliability and adaptability.
2Reliability
If consistency checks are performed on external route proposals, then the security and reliability of routing decisions are improved, but the processing time and system complexity increase
Solution Approach 1:
The system performs partial consistency checks by comparing only critical elements of the external route proposal against the environmental model, rather than conducting a complete exhaustive verification. This approach maintains security for critical routing decisions while reducing processing time through selective verification of essential route parameters.
3Measurement precision
If the environmental model is continuously updated with network feedback, then the accuracy and quality of the model improves, but the risk of introducing manipulated information increases
Solution Approach 1:
The system performs preliminary consistency checks on external route proposals by comparing them against the environmental model before accepting and executing the route. This advance verification prevents manipulation from compromising safety, while still allowing external information to be utilized for resolving exceptional situations.
Solution Approach 2:
The system provides feedback to the external source about the consistency verification results of route proposals. This feedback mechanism enables the system to identify and reject manipulated information while maintaining the ability to accept valid external routing suggestions, thus resolving the contradiction between reliability and adaptability.
Data Source
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AI summary
Embodiments relate to a system, a vehicle, a network component, apparatuses, methods, and computer programs for a vehicle and a network component. The method (10) for a vehicle (100) and for verifying a proposed route comprises determining (12) an exceptional traffic situation based on an environmental model for the vehicle (100), and transmitting (14) information related to the exceptional traffic situation to a network component (200) using a mobile communication system (400). The method (10) further comprises receiving (16) information related to a proposed route from a network component (200), and verifying (18) the proposed route based on the environmental model of the vehicle (100).