Agent Controller Vehicle Identification via Image Recognition
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Solution Overview
Problem
In situations with multiple vehicles around a host vehicle, accurately identifying other vehicles using GPS location information can be challenging due to accuracy issues, making it difficult to coordinate agents for driving assistance.
Innovation Solution
An agent controller with a storage unit and processor that captures images around the vehicle, identifies vehicles based on recognition information, including blinking patterns, and transmits/receives information to/from other vehicles for coordination, using a communication unit to manage vehicle and agent IDs and blinking patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS location information is used to identify other vehicles, then vehicle identification can be performed, but identification accuracy deteriorates when multiple vehicles are present due to GPS accuracy limitations
Solution Approach 1:
The patent introduces an image recognition system as an intermediary to bridge the gap between GPS location data and accurate vehicle identification. The camera captures images of surrounding vehicles, and image processing extracts visual features (color, shape, size) that serve as additional identification parameters. This intermediary system compensates for GPS accuracy limitations by providing visual confirmation of vehicle identity.
Solution Approach 2:
The patent changes the identification parameters from solely GPS coordinates to a composite set including image-based visual features (color, shape, size) and blinking patterns. By transforming the identification approach from location-only to multi-parameter recognition, the system achieves more accurate vehicle identification even when GPS accuracy is insufficient.
2Measurement precision
If vehicle identification uses multiple parameters including image recognition, then identification accuracy improves, but system complexity increases
Solution Approach 1:
The camera system serves multiple functions: it captures images for vehicle identification, detects blinking patterns for additional verification, and provides visual data for coordinate correction. By making the image recognition system multi-functional, the patent avoids adding separate dedicated devices for each function, thereby limiting the increase in system complexity while maintaining high identification accuracy.
Solution Approach 2:
The system uses the vehicle's own camera and processing capabilities to perform identification, rather than relying on external infrastructure. The blinking pattern detection leverages the vehicle's existing lamp system, and the coordinate correction uses data from the vehicle's own sensors and communication systems, reducing the need for additional external equipment.
3Productivity
If agents coordinate between multiple vehicles, then driving assistance quality improves, but communication and coordination overhead increases
Solution Approach 1:
The system performs vehicle identification and agent pairing in advance before actual coordination is needed. By pre-establishing the communication channels and coordinate systems between vehicles using image recognition and blinking patterns, the patent reduces the coordination overhead during actual driving assistance operations. The preliminary pairing process creates ready-to-use communication pathways that speed up subsequent coordination tasks.
Data Source
AI summary
An agent controller controls an agent that provides driving assistance information to a driver who drives a first vehicle. The agent controller includes a storage unit and a processor. The storage unit is configured to store vehicle recognition information of a second vehicle located around the first vehicle. The processor is configured to acquire an image around the first vehicle, captured by a camera. The processor is configured to identity a vehicle included in the captured image as the second vehicle that matches the vehicle recognition information. The processor is configured to transmit information to the second vehicle or receive information from the second vehicle by coordinating the agent of the first vehicle with an agent of the second vehicle identified by the processor.