Driving Assistance Reference Positioning for Intersection Risk Prediction
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Solution Overview
Problem
Existing driving assistance technologies struggle with accurately identifying risk positions for potential collisions, leading to inappropriate or insufficient driving assistance, particularly at intersections where the necessity of assistance varies.
Innovation Solution
A driving assistance device that utilizes vehicle-to-vehicle communication to acquire peripheral vehicle information, identifies intersections between the self-vehicle and peripheral vehicles, and updates risk position information based on specific reference positions, such as acceleration thresholds or turning preparation positions, to enhance collision prediction and assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If risk position identification is performed using a single reference position method, then the device complexity is reduced, but the measurement precision of risk position identification deteriorates
Solution Approach 1:
The system dynamically selects between first reference position and second reference position based on the peripheral vehicle's position relative to the self-vehicle. When the peripheral vehicle is in the first range (front), the first reference position (self-vehicle's position) is used. When the peripheral vehicle is in the second range (side), the second reference position (predicted course intersection) is used. This dynamic adaptation resolves the contradiction by optimizing accuracy for different spatial scenarios without requiring a single complex method for all cases.
Solution Approach 2:
Different reference position determination methods are applied to different spatial locations of peripheral vehicles. The first reference position method is applied locally when peripheral vehicles are in front, while the second reference position method is applied locally when peripheral vehicles are on the side. This local differentiation improves overall measurement precision without uniformly increasing system complexity.
2Reliability
If driving assistance is provided at all identified intersections, then the reliability of collision prevention is improved, but the ease of operation deteriorates due to unnecessary assistance
Solution Approach 1:
The system applies different driving assistance strategies based on the specific intersection type and risk level. High-risk intersections (where actual collisions occurred) trigger appropriate driving assistance, while low-risk intersections do not trigger unnecessary assistance. This local differentiation ensures reliability for critical cases while maintaining ease of operation by avoiding false alarms.
Solution Approach 2:
The system performs driving assistance only for intersections that meet specific risk criteria rather than all identified intersections. By applying partial action only where necessary, the system maintains high reliability for collision prevention while avoiding excessive assistance that would degrade operational ease.
3Productivity
If risk position information is updated frequently, then the productivity of collision detection is improved, but the loss of energy increases
Solution Approach 1:
The system updates risk position information periodically based on detected intersections rather than continuously. By performing updates at periodic intervals triggered by intersection events, the system improves collision detection productivity while reducing energy consumption compared to continuous updating.
Data Source
AI summary
A driving assistance device performs an intersection identification operation of identifying an intersection between traveling tracks of a self-vehicle and a peripheral vehicle and updates risk position information based on the intersection identified by the intersection identification operation. The device performs the intersection identification operation using, as a first reference position, a position where the self-vehicle accelerates after decelerating to a threshold value or less or a position where the self-vehicle temporarily stops in a case where the peripheral vehicle exists within a first range in front of the self-vehicle and performs the intersection identification operation using, as a second reference position, an intersection between a predicted course of the self-vehicle and a predicted course of the peripheral vehicle in a case where the peripheral vehicle exists within a second range on a side of the self-vehicle.