Vehicle Radar Detection Range Estimation for Lost-Track Degradation
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Solution Overview
Problem
Existing radar devices face challenges in accurately determining performance degradation due to difficulties in measuring sight end distances in complex environments, such as obstruction by surrounding vehicles or road structures, leading to loss of track and inability to observe preceding vehicles.
Innovation Solution
A distance detection apparatus for vehicles that includes a distance detection unit, detection distance estimation unit, lost-track distance estimation unit, and performance determination unit, which estimates the maximum detectable object distance and lost-track distance based on radar wave intensities, allowing for accurate determination of detection performance degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If radar devices are used to detect object distances in complex environments, then detection capability is improved, but measurement accuracy deteriorates due to obstruction by surrounding vehicles or road structures
Solution Approach 1:
The system performs preliminary actions by estimating the detection distance before actual detection occurs. It calculates the maximum detectable distance based on transmitted power and receiver sensitivity, then compares this with actual detection results to identify performance degradation early, before obstructions cause complete detection failure
Solution Approach 2:
The system implements feedback by continuously monitoring detection results and comparing them against estimated detection distances. When detection failures occur or detected distances significantly differ from estimated values, the system feeds back this information to determine performance degradation, enabling adaptive response to environmental obstructions
2Length of moving object
If the detection threshold is lowered to detect objects at greater distances, then detection range is improved, but reliability deteriorates due to false detections and loss of track
Solution Approach 1:
The system applies partial action by using different detection thresholds for different scenarios. It calculates an estimated detection distance that represents the maximum theoretical range, then uses this as a reference to determine when actual detections are reliable. The system doesn't uniformly lower the threshold but selectively adjusts it based on the comparison between estimated and actual detection distances
Solution Approach 2:
The system changes parameters by dynamically adjusting detection thresholds based on environmental conditions and performance degradation levels. It modifies the detection threshold parameter according to the determined degradation level, allowing the system to maintain optimal detection reliability across varying operational conditions rather than using a fixed threshold
3Measurement precision
If radar wave intensity is used to estimate detection distance, then measurement capability is improved, but device complexity increases due to additional estimation units
Solution Approach 1:
The system achieves universality by making the detection unit serve multiple functions. The same detection unit that detects actual object distances also provides data for estimating detection distance. The radar wave intensity information is reused for both target detection and performance monitoring, eliminating the need for completely separate estimation hardware
Solution Approach 2:
The system implements self-service by having the detection apparatus monitor its own performance. The detection unit's existing measurements of object distance and radar wave intensity are used to self-estimate the detection distance and determine performance degradation without requiring external calibration equipment or additional specialized sensors
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 apparatus enhances the accuracy of determining radar performance degradation by estimating object distances near the detection limit, even in conditions like rainfall or optical window interference, and excludes unsuitable objects to improve detection performance assessment.
Implementation Method 1
detect object distances to an object around the vehicle by transmitting and receiving radar waves
Data Source
AI summary
In a distance detection apparatus for a vehicle, a distance detection unit is configured to detect object distances to an object around the vehicle by transmitting and receiving radar waves. A detection distance estimation unit is configured to estimate an estimated detection distance having a maximum value of the object distance, based on the object distances and intensities of the radar waves reflected by the object. A lost-track distance estimation unit is configured to estimate, as a lost-track distance, the object distance at a timing of transition from a detected state where the object is recognized to a non-detected state where the object is not recognized, based on a result of detection by the distance detection unit. A performance determination unit is configured to determine a degradation of detection performance of the distance detection unit based on the estimated detection distance and the lost-track distance.