Vehicle Recognition Feedback Control for Low-Visibility Driving
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Solution Overview
Problem
In automatic driving environments, the recognition rate of vehicles and infrastructure can plateau due to limited information, making it difficult to maintain accurate recognition, especially in adverse weather conditions, and there is a need for methods to improve recognition levels to prevent accidents.
Innovation Solution
An information processing apparatus and method that calculates and improves the recognition level of a vehicle by receiving recognition level information from other vehicles or infrastructure, allowing for control adjustments such as reducing speed, turning on lights, or modifying transmission data with vehicle location, speed, and reference marker information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If learning processing is performed using a limited number of images, then the processing time and computational resources are reduced, but the recognition rate reaches a plateau and cannot be improved further
Solution Approach 1:
The patent introduces a recognition level calculation unit that acts as an intermediary to evaluate the recognition state between vehicles and infrastructure. This unit calculates a recognition level based on communication information (such as position, speed, and acceleration data) exchanged between vehicles and infrastructure facilities. By using this intermediate recognition level metric, the system can identify when recognition is insufficient without requiring extensive image data, thus avoiding the plateau effect while reducing the need for large amounts of training images.
2Measurement precision
If more images are collected for learning processing, then the recognition rate may improve, but the system complexity and data processing requirements increase significantly
Solution Approach 1:
The patent replaces the mechanical/image-based recognition system with an information-based recognition system. Instead of relying on camera images and complex image processing algorithms, the system uses communication data (position, speed, acceleration) exchanged between vehicles and infrastructure facilities to calculate recognition levels. This substitution dramatically reduces system complexity while maintaining or improving recognition accuracy, as the calculation is based on simple numerical parameters rather than complex image analysis.
3Reliability
If control actions are taken to improve recognition level, then safety is enhanced, but energy consumption and operational complexity increase
Solution Approach 1:
The patent implements partial action by only triggering control measures when the calculated recognition level falls below a predetermined threshold. When recognition is sufficient, no additional control actions are taken, maintaining normal vehicle operation without unnecessary energy consumption. When recognition is insufficient, the system selectively applies control measures such as adjusting vehicle position, speed, or activating communication devices. This threshold-based approach ensures safety improvements are achieved only when necessary, minimizing unnecessary energy expenditure and operational complexity.
Data Source
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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.