Threat Selection Using Predicted Heading Angle and Distance Thresholds
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Vehicle collision mitigation systems face challenges in efficiently assessing threats from target vehicles, requiring significant computational resources and data processing, which can be costly and resource-intensive, especially when prioritizing vehicles most likely to collide with a host vehicle.
Innovation Solution
A system that predicts the heading angle of a target vehicle and determines distance thresholds based on its dimensions, using a bounding box approach to select vehicles for threat assessment, thereby reducing computational costs by focusing on vehicles within predicted collision paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If threat assessment is performed on all detected target vehicles, then collision safety is improved, but computational cost and processing time increase significantly
Solution Approach 1:
The patent segments the threat assessment process into two stages: a fast preliminary filtering stage using distance and velocity thresholds, and a detailed assessment stage for selected targets. This segmentation divides the computational workload, applying simple checks to all vehicles and complex analysis only to those meeting specific criteria, thereby reducing overall computational cost while maintaining safety.
Solution Approach 2:
The patent applies partial action by performing complete threat assessment only on a subset of target vehicles that meet predefined criteria (distance, velocity, relative position), rather than assessing all detected vehicles. This selective approach reduces computational burden while maintaining adequate safety coverage for high-risk scenarios.
2Measurement precision
If data from multiple sensors is collected for threat assessment, then assessment accuracy is improved, but data processing time and resource consumption increase
Solution Approach 1:
The patent performs preliminary actions by pre-calculating and storing threshold values for distance, velocity, and relative position criteria. During real-time operation, these pre-established thresholds are quickly compared against sensor data without requiring complex real-time analysis, reducing processing time while maintaining assessment accuracy.
Solution Approach 2:
The patent applies local quality by using different levels of data processing for different target vehicles based on their risk profile. High-priority targets (those meeting threshold criteria) receive full multi-sensor analysis, while low-priority targets undergo minimal processing, optimizing the balance between accuracy and processing time for each specific case.
Data Source
AI summary
A computer includes a processor and a memory, the memory storing instructions executable by the processor to predict a heading angle of a target vehicle, determine a distance between a host vehicle and a center line of the target vehicle based on the predicted heading angle, and perform a threat assessment for the target vehicle when the distance is below a threshold.