Rear Side Warning Control for Guard Rail Reflection Errors
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Solution Overview
Problem
Conventional rear side warning systems for vehicles fail to accurately detect obstacles due to reflection errors from guard rails and tunnel walls, leading to false warnings and reduced reliability.
Innovation Solution
A processor-based system that classifies external obstacles as fixed or moving objects using a sensing unit, determination unit, and control unit, which divides the sensing range into a grid shape and adjusts warning signals based on lateral distance and position changes, preventing false alarms from stationary objects like guard rails and expanding the warning area when entering tunnels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If radar sensors are used to detect vehicles on the rear side, then the system can provide rear side collision warnings, but false warnings occur due to reflection from fixed objects like guard rails and tunnel walls
Solution Approach 1:
The sensing range is divided into a grid shape formed by multiple longitudinal and lateral axes, creating multiple grid cells. This segmentation allows the system to track objects across different grid cells and distinguish between fixed objects (which remain in the same grid cell) and moving objects (which change grid cells), thereby reducing false warnings from reflections.
Solution Approach 2:
The system dynamically tracks the position of detected objects across multiple frames by determining which grid cell each object occupies. By monitoring position changes in the longitudinal and lateral directions, the system can identify moving objects that pose collision risks while filtering out stationary fixed objects that cause reflection interference.
2Area of stationary object
If the sensing range is expanded to cover more areas, then the system can detect more obstacles, but the complexity of processing and classifying objects increases
Solution Approach 1:
The sensing range is divided into a grid shape formed by multiple longitudinal and lateral axes, creating multiple grid cells. This segmentation allows the system to track objects across different grid cells and distinguish between fixed objects (which remain in the same grid cell) and moving objects (which change grid cells), thereby reducing false warnings from reflections.
Solution Approach 2:
The system dynamically tracks the position of detected objects across multiple frames by determining which grid cell each object occupies. By monitoring position changes in the longitudinal and lateral directions, the system can identify moving objects that pose collision risks while filtering out stationary fixed objects that cause reflection interference.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively reduces false warnings by accurately distinguishing between fixed and moving objects, enhancing driver safety by minimizing premature or unnecessary alerts and improving the reliability of rear side collision detection.
Implementation Method 1
the radar sensors for detecting the vehicle on the rear side do not properly sense the vehicle on the rear side caused by reflection of radar waves from a guard rail or an outer wall of a tunnel positioned on the side of the vehicle
Data Source
AI summary
A rear side warning system for a vehicle includes at least one processor configured to: sense an external obstacle of the vehicle; classify the external obstacle as either one of a fixed object and a moving object; and control a rear side warning signal of the vehicle based on a result of the classifying of the external obstacle.