Driving Assistance System Interference Traffic Line Extraction
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Solution Overview
Problem
Existing driving assistance systems face difficulties in determining appropriate driving actions when sensor perception is not possible, leading to challenges in calculating the risk of contact with other vehicles, especially in complex road scenarios.
Innovation Solution
The system extracts an interference traffic line that intersects with the subject vehicle's planned route, determines the necessary length of this interference traffic line based on road shape and traffic rules, and uses this information to determine a driving action, thereby setting an appropriate search range for determining the driving action.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a wide searching range is used when determining the driving action, then the system can cover more potential risks, but the determination becomes difficult when the range includes areas where sensor perception is not possible
Solution Approach 1:
The patent segments the searching range into multiple zones based on sensor perception capabilities. The determination range is divided into a first range where sensor perception is possible and a second range where it is not. This segmentation allows the system to apply different determination strategies to different zones, making the overall determination process more manageable while maintaining comprehensive risk coverage.
Solution Approach 2:
The patent applies different determination qualities to different regions of the searching range. In the first range where sensor perception is possible, the system performs detailed determination based on actual sensor data. In the second range where sensor perception is not possible, the system performs estimation-based determination. This local differentiation of determination quality resolves the contradiction by making determination feasible in each region according to its specific characteristics.
2Loss of information
If the determination range includes areas where sensor perception is not possible, then more potential risks can be identified, but the determination of driving action becomes difficult
Solution Approach 1:
The patent performs preliminary classification of the determination range before detailed analysis. By first identifying which areas are within sensor perception capability and which are not, the system prepares the determination process in advance. This preliminary action allows subsequent determination steps to be tailored appropriately, reducing the difficulty of detecting and measuring risks in each zone while maintaining complete risk information coverage.
Solution Approach 2:
The patent introduces an intermediary estimation mechanism for areas where sensor perception is not possible. Instead of directly determining driving actions in the second range without sensor data, the system uses estimation based on available information as an intermediary step. This intermediary approach bridges the gap between limited sensor perception and comprehensive risk identification, making determination feasible while maintaining information completeness.
3Reliability
If a broad search range is used to ensure comprehensive risk assessment, then the system can identify more potential hazards, but the complexity of the determination process increases
Solution Approach 1:
The patent reduces determination process complexity by segmenting the broad search range into distinct zones based on sensor perception capabilities. This segmentation transforms a single complex determination problem into multiple simpler sub-problems, each with its own appropriate determination strategy. The first range uses sensor-based determination while the second range uses estimation-based determination, reducing overall process complexity while maintaining comprehensive risk assessment.
Solution Approach 2:
The patent applies partial determination actions to different ranges rather than applying a single comprehensive determination method to the entire search range. In the first range, detailed sensor-based determination is performed, while in the second range, estimation-based determination is applied. This partial action approach reduces the complexity of the overall determination process by matching the level of determination effort to the specific characteristics of each range.
Data Source
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AI summary
The present disclosure includes extracting an interference traffic line that is a route along which another vehicle can move and that interferes with a planned travel route of a subject vehicle, determining a necessary length of the extracted interference traffic line of the other vehicle, which length is necessary for determining a driving action of the subject vehicle, on the basis of at least one of a shape of a road, a traffic rule, and a traffic situation, and determining the driving action of the subject vehicle to respond to the other vehicle moving along the interference traffic line using a range of the determined necessary length of the interference traffic line as a determination object.