Vehicle Recognition Feedback Control Using V2X Recognition Levels
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Solution Overview
Problem
Existing automatic driving technologies face challenges in reliably recognizing vehicles and infrastructure due to weather conditions or limited information, leading to potential collisions and a plateau in recognition accuracy.
Innovation Solution
An information processing apparatus and method that utilizes vehicle-to-vehicle and vehicle-to-infrastructure communication to calculate and exchange recognition levels, enabling control adjustments such as speed reduction, turning on lights, or changing transmission information to improve recognition accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image processing with parameters from a learning server is used to detect obstacles, then detection capability is improved, but recognition accuracy reaches a plateau when information amount is small
Solution Approach 1:
The patent combines recognition results from multiple vehicles and infrastructure facilities to compute a comprehensive recognition level. Instead of relying on a single vehicle's limited information, the system merges data from multiple sources (other vehicles, infrastructure facilities) to overcome the information limitation and avoid recognition accuracy plateau.
Solution Approach 2:
The patent introduces an infrastructure facility as an intermediary that collects and processes recognition information from multiple vehicles. The infrastructure facility acts as a mediator that aggregates information from multiple sources and provides comprehensive recognition levels to vehicles, enabling improved recognition accuracy without being constrained by individual vehicle information limits.
2Measurement precision
If a vehicle reduces speed to improve recognition level, then recognition accuracy is improved, but traveling efficiency decreases
Solution Approach 1:
The patent implements dynamic speed adjustment based on real-time recognition levels. The vehicle's speed is not fixed but dynamically adapted according to the computed recognition level from multiple sources. When recognition level is sufficient, the vehicle maintains normal speed; when recognition level is low, speed is adjusted to improve recognition. This dynamic approach balances recognition accuracy with traveling efficiency.
Solution Approach 2:
The system continuously computes recognition levels from multiple vehicles and infrastructure facilities and uses this feedback to adjust vehicle speed. The feedback loop ensures that speed adjustments are made only when necessary (when recognition level is low), rather than maintaining reduced speed continuously, thereby preserving traveling efficiency while improving recognition accuracy when needed.
3Measurement precision
If communication between vehicles and infrastructure is increased to improve recognition, then system complexity increases
Solution Approach 1:
The infrastructure facility serves multiple functions: it collects recognition information from multiple vehicles, computes comprehensive recognition levels, and provides this information back to vehicles. This multi-functional approach consolidates what would otherwise require separate systems at each vehicle, reducing overall system complexity while improving recognition accuracy through enhanced communication.
Data Source
AI summary
To realize an apparatus and a method for receiving a recognition level of an own vehicle from another vehicle and/or an infrastructure facility and performing control to improve a recognition level. A recognition level of the own vehicle calculated by another vehicle or the infrastructure facility is received, and control for improvement of a recognition level of the own vehicle is executed in accordance with the received recognition level. As the control for improvement of a recognition level of the own vehicle, any process is executed among: (a) a process of reducing a traveling speed or stopping; (b) a process of turning on a light; and (c) a process of changing transmission information from the own vehicle. As the process of changing transmission information, a process of adding, to the transmission information, vehicle location information, vehicle speed information, vehicle size information, or reference marker position information is executed.