Driving Assistance Device Adaptive Processing Load
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Solution Overview
Problem
Conventional driving assistance systems experience increased information processing loads as the number of oncoming vehicles increases, leading to inefficiencies in providing effective assistance.
Innovation Solution
A driving assistance device that adjusts its information processing based on the level of assistance required, reducing processing when the level is lower by omitting dead reckoning for obstacle position estimation and using infrastructure information when detection data is unavailable, thereby optimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of oncoming vehicles being processed increases to provide comprehensive driving assistance, then the quality and completeness of driving assistance improves, but the information processing load increases
Solution Approach 1:
The system changes the information processing amount based on the level of driving assistance required. When the assistance level is high, the system performs comprehensive processing including dead reckoning for all detected vehicles. When the assistance level is low, the system reduces processing by skipping dead reckoning for vehicles with low collision possibility, thereby maintaining reliability while reducing processing load.
Solution Approach 2:
The system performs dead reckoning selectively rather than for all detected vehicles. It identifies vehicles with high collision possibility and performs detailed dead reckoning only for those, while using simplified processing or infrastructure information for vehicles with low collision possibility. This partial action approach maintains safety for critical cases while reducing overall processing load.
2Measurement precision
If dead reckoning is performed for all detected obstacles to estimate positions, then the accuracy of obstacle position estimation improves, but the information processing load increases
Solution Approach 1:
The system applies different processing quality to different obstacles based on their collision possibility. For obstacles with high collision possibility, it performs accurate dead reckoning to estimate position. For obstacles with low collision possibility, it uses infrastructure information or skips detailed estimation. This local quality approach ensures measurement precision where needed while reducing processing load overall.
Solution Approach 2:
The system changes the processing amount based on the assistance level parameter and collision possibility. When assistance level is high or collision possibility is high, it performs full dead reckoning for accurate position estimation. When assistance level is low or collision possibility is low, it reduces processing by skipping dead reckoning or using infrastructure information, thereby balancing precision and processing load.
Data Source
AI summary
The present invention is a driving assistance device which provides driving assistance based on detection information of an obstacle in which an information processing amount of the driving assistance for the obstacle is changed according to a level of the driving assistance. The present invention also is the driving assistance device which provides the driving assistance to output information which can be recognized to a driver based on the detection information of the obstacle in which an information amount of the driving assistance to be presented to the driver is increased according to an increase in the level of the driving assistance.