Blind Spot Warning Path Correction During Vehicle Turns
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Solution Overview
Problem
Existing blind spot warning systems for vehicles fail to accurately detect and warn of potential collisions when the host vehicle is turning, due to limitations in radar sensor range and the generation of false warnings from vehicles behind the host vehicle.
Innovation Solution
A method and system that corrects the driving path data and target position data based on the moving distance and angle of the host vehicle when turning, allowing for accurate identification of the relative position of the target vehicle and appropriate generation of warning signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the radar sensor detects vehicles behind the host vehicle using a fixed sensing range, then the system can generate warnings for vehicles in the blind spot, but it generates false warnings when the host vehicle is turning because the sensing range does not account for the changed moving direction
Solution Approach 1:
The patent applies dynamics by making the sensing range adjustable and adaptive to the host vehicle's turning motion. The controller dynamically modifies the sensing range parameters (moving distance and moving angle) based on detected turning conditions, allowing the system to adapt its detection behavior to different driving scenarios rather than using a fixed sensing pattern
Solution Approach 2:
The patent changes the parameters of the sensing range (moving distance and moving angle) based on the host vehicle's turning state. When turning is detected, the controller adjusts these parameters to compensate for the changed moving direction, ensuring accurate target position detection relative to the host vehicle's new orientation
2Area of stationary object
If the system expands the sensing range to cover all possible vehicle positions during turns, then it can detect all potential targets, but it increases the likelihood of false warnings from vehicles that are not actually at risk of collision
Solution Approach 1:
The patent applies local quality by creating different sensing range characteristics for different spatial regions. Rather than uniformly expanding the sensing range in all directions, the system selectively adjusts the moving angle and moving distance parameters to create an asymmetric sensing pattern that focuses detection resources on areas where targets are most relevant to collision risk
3Measurement precision
If the system corrects target position data based on vehicle turning motion, then it can accurately identify relative positions and reduce false warnings, but it requires additional processing complexity to calculate and apply the corrections
Solution Approach 1:
The patent replaces complex mechanical or geometric correction calculations with a simplified data processing approach. Instead of performing complex coordinate transformations or geometric computations, the system uses pre-defined moving distance and moving angle parameters that the controller adjusts based on turning detection, significantly reducing computational complexity while maintaining accuracy
Data Source
AI summary
A method and system for target detection of a vehicle is proposed. In the method and system, when the vehicle is turning, a warning signal according to a risk level of collision is generated at the right timing as a risk level of collision between the host vehicle and the other vehicle behind the host vehicle may be accurately identified by correcting a driving path of the host vehicle and position of the other vehicle on the basis of a driving state of the host vehicle.