Foreign Substance Detection Validation via Multi-Vehicle Consensus
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Solution Overview
Problem
Existing systems fail to validate the accuracy of fallen object detection, leading to potential transmission of erroneous information to surrounding vehicles, causing unnecessary actions like lane changes and power feeding stops.
Innovation Solution
A system that evaluates the validity of foreign substance detection results by comparing data across multiple vehicles, using detectors and server devices to determine the presence or absence of foreign substances, and adjusts for weather and illuminance conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If detection results are transmitted to surrounding vehicles without validation, then information sharing is improved, but reliability of detection information deteriorates
Solution Approach 1:
The system implements feedback by collecting detection results from multiple vehicles and using this feedback to validate individual detection results. The server aggregates detection data from surrounding vehicles and feeds this information back to verify the accuracy of each vehicle's detection, ensuring reliable information sharing while maintaining high reliability through consensus validation.
Solution Approach 2:
The server acts as an intermediary between individual vehicles and the information sharing network. It collects, validates, and aggregates detection results from multiple vehicles before transmitting confirmed information to surrounding vehicles, thereby ensuring both comprehensive information sharing and high reliability through centralized validation.
2Reliability
If detection results from multiple vehicles are aggregated for validation, then reliability of detection information is improved, but device complexity increases
Solution Approach 1:
The server performs multiple functions including data collection, validation, aggregation, and information distribution using a single centralized platform. This multi-functional approach improves reliability through comprehensive validation while avoiding the complexity that would arise from implementing distributed validation systems in each vehicle.
Solution Approach 2:
The server as an intermediary centralizes the complex validation and aggregation processes, preventing this complexity from being distributed across multiple vehicles. This approach improves reliability through systematic multi-vehicle validation while containing device complexity within the server infrastructure rather than increasing it in individual vehicles.
3Measurement precision
If detector maintenance is prompted based on minority determination, then detection accuracy is improved, but loss of time for maintenance increases
Solution Approach 1:
The system performs preliminary validation by comparing detection results in real-time before transmitting information. This preliminary action identifies detector issues early through minority determination, allowing maintenance to be scheduled proactively rather than reactively, thereby maintaining high detection accuracy while minimizing unplanned downtime and optimizing maintenance timing.
Data Source
AI summary
A foreign substance detection system includes: a vehicle provided with a detector that detects a foreign substance present on a road on which the vehicle travels; and a server device that determines whether or not the foreign substance actually exists on the road on which the vehicle travels based on a detection result of the detector. Further, the server device evaluates validity of the detection result of the foreign substance by comparing, between a plurality of vehicles, the detection result of the foreign substance by the detector and information on a position where the foreign substance has been detected.