Autonomous Driving Recognition Status Output for Safety Evaluation
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Solution Overview
Problem
Existing techniques for autonomous vehicles fail to effectively communicate whether the recognition processes necessary for safe driving are properly performed, making it difficult for evaluators to assess the vehicle's ability to conduct thorough safety checks.
Innovation Solution
An information processing method that acquires event-related information, direction information, and recognition results to determine if specific objects influencing the vehicle's driving are recognized, generating process completion information to indicate the vehicle's recognition performance, allowing evaluators to assess the safety checks performed by the autonomous vehicle.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the autonomous vehicle performs recognition processes and driving control, then the driving automation is improved, but the transparency of recognition process to evaluators deteriorates
Solution Approach 1:
The patent introduces an information processing system as an intermediary between the autonomous vehicle's recognition system and human evaluators. This system generates and provides information about whether recognition processes have been performed in specific directions, enabling evaluators to assess the vehicle's safety checks without interfering with the automated driving operation.
2Reliability
If the autonomous vehicle conducts thorough safety checks, then the reliability of autonomous driving is improved, but the complexity of monitoring recognition processes deteriorates
Solution Approach 1:
The patent segments the monitoring function into specific directional checks. Instead of requiring comprehensive monitoring of all recognition processes, the system focuses on determining whether recognition has been performed in specific directions associated with particular events, simplifying the evaluation process while maintaining reliability.
Solution Approach 2:
The patent changes the monitoring parameter from comprehensive process verification to directional recognition verification. By focusing on whether objects are recognized in specific directions rather than verifying all internal processing steps, the system maintains reliability while reducing monitoring complexity.
3Measurement precision
If detailed recognition process information is provided to evaluators, then the measurement precision of safety check assessment is improved, but the quantity of information to be processed deteriorates
Solution Approach 1:
The patent extracts only the essential information needed for evaluation - specifically, whether recognition processes have been performed in directions associated with particular events. This extracted information provides sufficient precision for safety assessment without requiring evaluators to process comprehensive detailed data about all recognition operations.
Data Source
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AI summary
The invention relates to an information processing method and system for properly presenting, to a user (U), information indicating whether autonomous driving of a vehicle (2) is properly performed or not. Event-related information is acquired, and a judgment is made as to whether a particular event is detected. When a particular event is detected, direction information indicating a first direction is acquired, and first recognition result information is acquired as to a result of a recognition process as to an object located outside a vehicle. Furthermore, a judgment is made as to whether the first recognition result information includes a result of object recognition in the first direction and as to whether existence of a specific object in the first direction is detected. In a case where it is judged that the first recognition result information indicates that object recognition in the first direction is performed and existence of a specific object in the first direction is not detected, process completion information indicating that the vehicle (2) has performed the recognition process in the first direction is generated and output.