V2X Multi-Angle Object Recognition for False Detection Filtering
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Solution Overview
Problem
Existing V2X technologies face challenges in processing large amounts of data efficiently, leading to potential delays in vehicle control and increased risk of accidents due to false sensor detections, especially in adverse weather or complex road environments.
Innovation Solution
A multi-angle object recognition system using V2X technology that collects and shares information between vehicles to configure a multi-angle view environment. This system includes an information collection unit, a V2X communication unit, an information coding unit, an information comparison unit, and a multi-angle view environment configuration unit to filter out false detections and redundant information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If V2X technology is used to share object recognition data between multiple vehicles, then the perception range and accuracy are improved, but the data processing speed decreases due to the enormous amount of data
Solution Approach 1:
The patent extracts only the essential and relevant object recognition data from the enormous amount of V2X communication data, filtering out redundant information. This selective extraction maintains high recognition accuracy while reducing the data volume that needs to be processed, thereby resolving the contradiction between accuracy and processing speed.
Solution Approach 2:
The patent segments the data processing task by dividing it into multiple stages: data reception, preliminary filtering, detailed analysis, and decision-making. This segmentation allows different parts of the system to handle different aspects of data processing simultaneously, improving overall processing speed while maintaining accuracy through coordinated multi-angle verification.
2Extent of automation
If sensors are used to detect surrounding objects, then the vehicle can recognize situations autonomously, but false detections occur due to weather, road environment, or sensor mounting location
Solution Approach 1:
The patent merges data from multiple vehicles' sensors to create a comprehensive view of the surrounding environment. By combining detection results from multiple independent sources, the system achieves more reliable object recognition that overcomes the limitations of individual sensors affected by weather, road environment, or mounting location variations.
Solution Approach 2:
The patent implements a feedback mechanism where detection results from multiple vehicles are continuously compared and verified. When discrepancies are detected, the system adjusts its recognition algorithms and requests additional verification data, thereby improving detection reliability while maintaining autonomous recognition capability.
3Loss of information
If all collected V2X data is processed in detail, then comprehensive object recognition is achieved, but the processing time increases which may lead to vehicle accidents
Solution Approach 1:
The patent performs preliminary filtering and prioritization of V2X data before detailed processing. Critical safety-related information is identified and processed first, while less urgent data is handled subsequently or with reduced detail. This preliminary action ensures that the most important information is processed quickly and completely, preventing information loss while minimizing processing time.
Data Source
AI summary
The present disclosure relates to a multi-angle object recognition system applied to a vehicle. The multi-angle object recognition system comprises: an information collection unit that collects information about a subject vehicle and surrounding information; a V2X communication unit that transmits and receives information collected by the information collection unit between vehicles; an information comparison unit that compares information collected by the subject vehicle with information received from another vehicle and when a false detection occurs, excludes the false detection from a control target; and a multi-angle view environment configuration unit that configures driving environment around the subject vehicle into a multi-angle view environment by combining only normal information among the information about the subject vehicle and the information received from the another vehicle.