Estimating Device Risk Assessment Calculation Load
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Solution Overview
Problem
Existing estimating devices for risk of contact between a moving body and a traffic participant face increased calculation loads as the number of traffic participants increases, making them inefficient.
Innovation Solution
The device employs an external environment recognition unit, a distance acquisition unit, and an estimation part that performs primary and secondary estimations based on the speed, acceleration, and direction of traffic participants, with primary estimations for close proximity and secondary estimations for greater distances, reducing calculation load by categorizing risk assessment methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the device calculates the position, moving direction, and speed of each traffic participant and identifies crossing points between predicted courses, then the accuracy of contact risk estimation is improved, but the calculation load increases significantly
Solution Approach 1:
The patent segments traffic participants into two categories: those in the same lane and those in other lanes. For same-lane participants, the system performs detailed calculations of position, moving direction, speed, and crossing point identification. For other-lane participants, the system uses simplified risk estimation based on basic positional information. This segmentation allows the device to maintain high estimation accuracy for critical threats while reducing overall calculation load.
2Reliability
If the device performs detailed calculations for all traffic participants to ensure accurate risk estimation, then the reliability of safety assessment is improved, but the processing time increases
Solution Approach 1:
The patent applies different levels of estimation detail to different spatial locations of traffic participants. Participants in the same lane (local area of interest) receive detailed analysis including position, speed, acceleration, and crossing point calculations. Participants in other lanes receive simplified estimation. This local quality approach ensures high reliability for critical same-lane assessments while reducing overall processing time through selective detail application.
Data Source
AI summary
An estimation unit performs a primary estimation for estimating the degree of risk based on the speed of the traffic participant, the acceleration of the traffic participant, and the advancing direction of the traffic participant, for a traffic participant whose separation distance from a moving body is equal to or shorter than a first distance, and performs a secondary estimation for estimating the degree of risk based on the scene at the time, for the traffic participant whose separation distance is equal to or greater than the second distance.