Vehicle Scene Determination Device Reducing Calculation Load
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Solution Overview
Problem
Existing scene determination devices for vehicles face challenges in determining driving actions in real-time due to the large number of traffic lines and processing objects generated by multi-scale recognition techniques, leading to increased calculation loads.
Innovation Solution
The solution involves extracting key events based on the relationships between the subject vehicle's route and intersecting routes, determining the scene using these events, and reducing the calculation load by focusing on essential relationships rather than processing all possible traffic lines.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multi-scale recognition is used to calculate traffic lines for subject vehicle and obstacle, then scene recognition accuracy is improved, but the number of processing objects increases considerably making real-time determination difficult
Solution Approach 1:
The patent extracts only the essential elements needed for scene determination: the subject vehicle's route, intersecting routes, and key events at intersections. By taking out and focusing on these critical components rather than processing all traffic lines, the system maintains accurate scene recognition while significantly reducing the number of processing objects to enable real-time determination.
Solution Approach 2:
The patent segments the complex scene determination problem into distinct components: route extraction, event extraction, and scene determination. By dividing the processing into these manageable segments, the system handles only necessary traffic lines and events, maintaining accuracy while improving processing efficiency and real-time performance.
2Reliability
If all traffic lines are processed to determine driving actions, then comprehensive scene analysis is achieved, but calculation load increases making fast determination difficult
Solution Approach 1:
The patent applies local quality by focusing computational resources on specific critical areas: intersections and events along the subject vehicle's route. Instead of uniformly processing all traffic lines, the system concentrates analysis on locations where scene determination is most needed, achieving comprehensive analysis of relevant areas while reducing overall calculation load.
Solution Approach 2:
The patent implements partial action by processing only the necessary portion of traffic lines - specifically those forming the subject vehicle's route and intersecting routes with events. This selective processing achieves sufficient scene analysis coverage without the excessive calculation load of processing all possible traffic lines.
Data Source
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AI summary
A scene determination device (10) is provided which includes a determination processor (11) configured to, when determining a driving action of a subject vehicle (V1) traveling on a route, determine a scene which the subject vehicle (V1) encounters. The determination processor (11) extracts a plurality of events which the subject vehicle (V1) traveling on a first route encounters, on the basis of relationships between the first route on which the subject vehicle (V1) travels and second routes having points of intersections with the first route and determines the scene using a relationship between each of the extracted events and the subject vehicle.