Blind Spot Object Selection via V2X Priority Areas
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Solution Overview
Problem
Existing technologies randomly request and receive image information for blind spot areas, making it difficult to determine if the information is useful for a driver or automatic driving system until all pieces of information are received.
Innovation Solution
An information processing device sets a priority area within blind spot areas where objects cannot be detected and requests object information from neighboring vehicles using V2X communications, allowing for efficient acquisition of useful information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If image information for blind spot areas is randomly requested and received from other vehicles, then all blind spot area information can be collected, but it is impossible to determine whether the information is useful for the driver or automatic driving system until all pieces of information are received
Solution Approach 1:
The blind spot area is divided into multiple priority levels (first priority area, second priority area, etc.) based on the importance of object detection for driver safety and automatic driving. This segmentation allows the system to process and evaluate information from high-priority areas first, enabling early determination of useful information without waiting to receive all blind spot information.
Solution Approach 2:
Different blind spot areas are assigned different priority levels based on their local characteristics and importance. The first priority area corresponds to regions where detected objects have higher significance for safety, while the second priority area corresponds to regions with lower significance. This allows selective processing of information based on local quality differences.
2Reliability
If all blind spot area information is received before determination, then complete information is available, but information acquisition efficiency is reduced
Solution Approach 1:
The system performs preliminary classification of blind spot areas into priority levels before information reception. By pre-defining which areas are most important, the system can efficiently acquire and process information from high-priority areas first, achieving both reliability for critical information and productivity through selective processing.
Solution Approach 2:
The system continuously receives object information from multiple vehicles and updates the detection results in real-time. The feedback mechanism allows the system to determine when sufficient useful information has been acquired from high-priority areas, enabling early termination of information collection while maintaining reliability.
Data Source
AI summary
In an information processing device, a first viewpoint object detecting unit detects an object in a first viewpoint, and an area setting unit sets a predetermined blind spot area among blind spot areas where objects are not able to be detected as a priority area based on detection results of detecting the object. Further, a second viewpoint object detecting unit detects the object in a second viewpoint, and an object selection unit selects the object in an area where the object can be newly detected in the second viewpoint within the priority area where the object could not be detected in the first viewpoint.