Vehicle Boundary Estimation Using Multiplexed Reflections
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Solution Overview
Problem
The existing driving support apparatuses face delays in detecting the speed of an object vehicle, leading to inaccurate estimation of its trajectory, particularly when the vehicle is outside the detection region of the sensor.
Innovation Solution
A driving support apparatus that estimates the boundary of the roadway using magnetic or ultrasonic waves and detects mobile bodies based on reflected waves, allowing for the estimation of the progress region of an object vehicle in an adjacent lane, even when it is outside the detection region, by utilizing multiplexed reflections to prevent false image detection and issuing stop signals to prevent lane changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the sensor detects objects only within its detection region, then false detection is reduced, but object vehicles outside the detection region cannot be detected early
Solution Approach 1:
The system performs preliminary detection of object vehicles using multiplexed reflection signals before they enter the main detection region. By analyzing reflected waves from boundaries and objects, the system estimates the progress region of approaching vehicles in advance, enabling early warning and lane change prevention before the vehicles become actual detection targets.
2Loss of time
If the detection region is expanded to cover more area, then early detection is improved, but false images from multiplexed reflections increase
Solution Approach 1:
The system uses boundaries (such as guardrails, curbs, or road edges) as intermediary reflective surfaces to detect object vehicles indirectly. By detecting reflections from both the boundary and the object vehicle, the system can identify the presence and trajectory of vehicles outside the direct detection region without expanding the sensor's physical detection coverage, thus avoiding false images from direct multiplexed reflections.
3Reliability
If the system urges the driver to refrain from lane changes based on detected objects, then safety is improved, but false warnings increase when objects are false images
Solution Approach 1:
The system employs feedback mechanisms to verify the authenticity of detected objects before issuing lane change warnings. By cross-referencing multiple detection signals, analyzing the consistency of reflected wave patterns, and estimating the progress region based on boundary reflections, the system can distinguish between real object vehicles and false images, thereby reducing false warnings while maintaining safety alerts for genuine hazards.
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
This solution enables early detection and estimation of the object vehicle's progress region, effectively supporting safe driving by preventing lane changes before the vehicle enters the detection region, thereby enhancing driving safety.
Implementation Method 1
estimating the boundary of a roadway based on reflected waves which are detected by a sensor for detecting the reflected waves
Implementation Method 2
outputting magnetic waves or ultrasonic waves to the periphery of a vehicle, and for estimating the boundary of a roadway based on reflected waves
Implementation Method 3
outputs magnetic waves or ultrasonic waves to the periphery of a vehicle
Data Source
AI summary
A driving support apparatus for supporting the driving of a vehicle includes: a boundary estimation part for outputting magnetic waves or ultrasonic waves to the periphery of a vehicle, and for estimating the boundary of a roadway based on reflected waves which are detected by a sensor for detecting the reflected waves; a detection part for detecting a mobile body based on the reflected waves which are detected by the sensor; and a region estimation part for estimating a progress region of the object vehicle which is moving in an adjacent lane when this detection part detects the mobile body generated by multiplexed reflections from an object vehicle which is actually moving in the adjacent lane.