Driving Assistance Collision Prediction Using Road Map Data
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Solution Overview
Problem
Existing driving assistance systems lack sufficient accuracy in predicting collisions with other vehicles, particularly when road width and limiting speed are not considered, leading to unreliable collision predictions.
Innovation Solution
A driving assistance apparatus that uses road map data to specify intersections and extract junctional roads, detects the direction of approaching vehicles on these roads, and calculates collision timing based on vehicle speeds and road characteristics to determine the possibility of collisions, enabling timely collision avoidance processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If collision prediction is determined based on whether vehicles are traveling toward predetermined reference points, then the system can identify potential collision scenarios, but the determination accuracy is insufficient due to not considering road width and limiting speed
Solution Approach 1:
The patent applies parameter changes by incorporating road width and limiting speed as additional parameters into the collision prediction calculation. The determination section calculates collision timing by combining vehicle positions, speeds, and directions with road-specific parameters (width and speed limits) extracted from road map data, thereby improving prediction accuracy without requiring fundamental system redesign
Solution Approach 2:
The patent implements preliminary action by pre-extracting road map data including road width and limiting speed information before collision prediction. The road extraction section prepares this contextual information in advance, so that when collision scenarios are detected, the determination section can immediately use these pre-prepared parameters for accurate timing calculation without real-time data processing delays
2Reliability
If the system determines collision probability using basic road map data without road width and limiting speed, then the system complexity remains low, but the reliability of collision prediction is insufficient
Solution Approach 1:
The patent introduces an intermediary approach by using road map data as a mediating information layer between vehicle detection and collision determination. The road extraction section acts as an intermediary that translates raw road map data into usable parameters (road width, limiting speed), which then mediate the collision timing calculation process, improving reliability while maintaining manageable system complexity through modular data processing
3Measurement precision
If reference points are used for collision determination, then the system can operate with simple geometry assumptions, but it cannot accurately handle complex road configurations such as merging roads or curved intersections
Solution Approach 1:
The patent applies segmentation by dividing the road geometry analysis into distinct functional sections: the road extraction section separately processes road width and limiting speed information, while the determination section separately calculates collision timing based on vehicle dynamics and road constraints. This segmentation allows accurate handling of complex geometries by treating each geometric parameter independently rather than requiring holistic geometric modeling
Data Source
AI summary
A driving assistance apparatus for performing driving assistance for a subject vehicle by using a position of the subject vehicle and road map data is provided. The driving assistance apparatus includes a different vehicle information acquisition portion for acquiring travel information about a different vehicle traveling near the subject vehicle, a road extraction section for extracting a junctional road connected, in a vehicle entry allowed manner, to a specific intersection ahead in a travel direction on a traveling road traveled by the subject vehicle, a determination section for determining a possibility of collision between the different vehicle and the subject vehicle when it is detected the different vehicle is traveling in the direction to enter the specific intersection; and a support section for performing a process to avoid the collision when the determination section determines that the possibility of the collision exists.