Obstacle Avoidance Activation on Curved Roads and Adjacent Lanes
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Solution Overview
Problem
Existing obstacle avoidance systems in motor vehicles rely on simplifying hypotheses that lead to poor detection and untimely activation, particularly when vehicles are on curved roads and obstacles are on different traffic lanes, leading to false hazardous situation detections.
Innovation Solution
The method calculates relative lateral and longitudinal speeds and accelerations between the vehicle and obstacles using distinct reference frames aligned with the road and obstacle directions, determining path deviations based on these relative values to accurately assess collision risks and activate the obstacle avoidance system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If simplifying hypotheses are used to calculate lateral deviation (e.g., assuming straight-line motion), then the calculation complexity is reduced, but the detection precision and reliability deteriorate leading to false hazardous situation detections
Solution Approach 1:
The patent transforms the calculation from a simple 2D lateral deviation to a 3D spatial problem by introducing the longitudinal component. The lateral deviation is recalculated as the perpendicular distance from the obstacle to the vehicle's trajectory line, accounting for both lateral and longitudinal positions. This parameter transformation resolves the contradiction by maintaining calculation feasibility while significantly improving detection precision and reducing false alarms.
2Loss of time
If the obstacle avoidance system is activated based on simple lateral deviation thresholds, then the response time is reduced, but the reliability deteriorates due to false detections on curved roads and multi-lane scenarios
Solution Approach 1:
The patent adds the longitudinal dimension to the traditional lateral deviation calculation. Instead of only considering lateral distance, the system now calculates the perpendicular distance from the obstacle to the extended trajectory line, incorporating both lateral and longitudinal coordinates. This dimensional expansion enables more accurate hazard assessment while maintaining rapid response capability, thus improving reliability without sacrificing response time.
3Measurement precision
If distinct reference frames aligned with road and obstacle directions are used to calculate relative speeds and accelerations, then the detection accuracy improves, but the computational complexity increases
Solution Approach 1:
The patent segments the velocity and acceleration vectors into components along the trajectory direction and perpendicular directions. By decomposing the relative motion into manageable vector components and calculating deviations separately, the system achieves high detection accuracy through precise vector analysis while keeping the computational process structured and efficient.
Data Source
AI summary
A method triggers an obstacle avoidance system. The method includes detecting at least one object forming a potential obstacle, determining the time remaining until the motor vehicle strikes the object, determining a path deviation to be performed to avoid the object, and activating the avoidance system according to the values of the parameter and each path deviation. The determination step includes calculating the difference between the lateral speed of the motor vehicle relative to the road in a reference frame oriented in accordance with the road at the motor vehicle, and the lateral speed of the object relative to the road in a reference frame oriented in accordance with the road at the object, and determining each path deviation according to the difference.