Vehicle Collision Avoidance Using Lateral Offset and Overlap Index
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Solution Overview
Problem
Advanced driver assistance systems (ADAS) face challenges in determining collision likelihood, particularly when a vehicle in the next lane suddenly cuts in or changes lanes, as existing systems may not respond promptly or accurately to lateral movements of objects.
Innovation Solution
A vehicle control method that utilizes a radar and sensor system to detect objects, calculate an overlap index and lateral offset, and adjust avoidance control timing based on predicted paths and movement directions of objects, allowing for earlier or later intervention in collision avoidance depending on the object's position and movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the system uses traditional collision detection based on current location only, then the system is simple to operate, but the system cannot detect sudden lane changes or cutting-in vehicles promptly
Solution Approach 1:
The patent extends collision detection from traditional longitudinal distance-only measurement to include lateral position dimensions. By calculating lateral offset and overlap index that incorporate both longitudinal and lateral coordinates, the system detects cutting-in vehicles and lane changes that traditional single-dimension systems would miss, improving detection accuracy without requiring additional sensors
Solution Approach 2:
The system performs preliminary calculation of overlap index and lateral offset based on predicted paths before actual collision occurs. By continuously monitoring lateral position and predicting future positions, the system identifies potential collision risks from sudden lane changes earlier than traditional systems, allowing preventive action
2Reliability
If the system performs avoidance control at earlier time based on predicted paths, then collision prevention capability is improved, but false alarms and unnecessary interventions increase
Solution Approach 1:
The patent dynamically adjusts the overlap index threshold parameter based on lateral offset values and relative velocity. When lateral offset is small (indicating potential lane change or cutting-in), the threshold is lowered to trigger earlier avoidance control. When lateral offset is large, the threshold is raised to prevent false alarms, thus adapting the sensitivity of collision detection to the specific spatial context
Solution Approach 2:
The system applies different detection sensitivity and control timing based on local spatial conditions. By evaluating lateral offset and overlap index separately in different spatial zones (e.g., small lateral offset vs. large lateral offset scenarios), the system provides appropriate avoidance control timing for each local condition, avoiding uniform early triggering that would cause false alarms
3Measurement precision
If the system calculates overlap index and lateral offset continuously based on predicted paths, then collision prediction accuracy is improved, but computational load and processing time increase
Solution Approach 1:
The system performs continuous calculation of overlap index and lateral offset only when specific conditions are met (e.g., when lateral offset is below a threshold or when relative velocity indicates potential collision). During normal driving conditions with large lateral offsets, calculations are reduced or skipped, decreasing processing energy while maintaining high precision when actually needed
Data Source
AI summary
A vehicle includes a radar mounted to have a front field of view and a lateral field of view of the vehicle and configured to detect an object and acquire object data; a sensor configured to detect a movement of the vehicle and acquire motion data based on the movement of the vehicle; and a controller comprising a processor configured to process the object data and the motion data.