Vehicle Distance Measuring Device Waveform Discrimination
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Solution Overview
Problem
Conventional on-vehicle distance measuring devices using two-dimensional scans with electromagnetic waves struggle to accurately distinguish between reflected waves from vehicles and road surfaces, leading to potential misidentification and loss of sight of a front-going vehicle, especially in low-speed following mode during traffic congestion.
Innovation Solution
The device employs a control circuit with vehicle recognizing, range judging, and vehicle confirming means to differentiate between a vehicle and a road surface by analyzing the waveform patterns and distance measurements, setting flags to confirm a detected object as a vehicle if it meets specific conditions such as continuous recognition, distance within a preset range, and consistency across multiple scans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the device uses two-dimensional scan with electromagnetic waves to measure distance, then it can detect objects in front, but it may erroneously identify road surface reflections as vehicle reflections
Solution Approach 1:
The system performs preliminary actions by continuously monitoring waveform patterns and establishing baseline characteristics of both road surface and vehicle reflections before making identification decisions. The control circuit analyzes multiple parameters including time-of-flight, waveform shape, and reflection intensity patterns in advance to pre-classify detected objects, reducing the risk of misidentification during critical measurement phases.
Solution Approach 2:
The control circuit implements feedback mechanisms by continuously comparing detected waveform patterns against stored reference patterns for both road surfaces and vehicles. When a detection is made, the system feeds back the classification result and adjusts subsequent detection parameters, creating a closed-loop system that improves identification accuracy over time and corrects potential misidentifications through iterative validation.
2Adaptability or versatility
If the own vehicle accelerates or road condition changes affecting laser transmission direction, then the transmission direction changes, but the front going vehicle may be lost if its reflection pattern resembles road surface
Solution Approach 1:
The system applies dynamics by making the detection parameters and classification thresholds adaptive rather than fixed. The control circuit dynamically adjusts detection sensitivity and waveform analysis parameters based on current vehicle acceleration, road slope, and environmental conditions. This allows the system to maintain reliable vehicle detection despite changes in transmission direction or reflection patterns caused by varying operational conditions.
Solution Approach 2:
The system changes multiple parameters simultaneously including laser transmission angle, detection threshold levels, waveform analysis windows, and classification criteria based on detected road conditions and vehicle motion state. By coordinating changes in these parameters, the system maintains optimal detection performance across varying conditions and prevents loss of front-going vehicle detection even when reflection patterns become ambiguous.
3Object-affected harmful factors
If the front going vehicle has poor light reflection or is dirty, then the reflected waveform pattern resembles road surface, but it becomes difficult to distinguish and the vehicle may be lost
Solution Approach 1:
The system transitions from relying solely on waveform shape analysis to a multi-dimensional detection approach that incorporates multiple independent parameters: time-of-flight measurements, reflection intensity ratios across different detection channels, temporal variation patterns, and spatial position data. By analyzing objects across multiple dimensions simultaneously, the system can distinguish vehicles from road surfaces even when their waveform patterns in any single dimension appear similar, thereby maintaining measurement precision under adverse reflection conditions.
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 approach effectively prevents the loss of sight of a front-going vehicle by reliably confirming its presence even when the waveform pattern resembles that of a road surface, ensuring continued measurement and following in adverse reflection conditions.
Implementation Method 1
laser light 3 transmitted from a laser radar 2 mounted to a front part of the own vehicle 1 is reflected by a road surface 4 and being detected
Implementation Method 2
measure the distance to an object based on reflected waves therefrom
Data Source
AI summary
A distance measuring device for a vehicle emits electromagnetic waves forward for a scan both in horizontal and vertical directions. It is judged from received light whether or not the distance to a detected object is within a specified preset range. If the distance is found to be within this range and if at least two specified conditions are satisfied, this object is regarded as a vehicle in the subsequent scans and a flag is set to this effect. One of these two conditions requires this object to have been judged as being a front going vehicle continuously over a time longer than a preset minimum time length. The second condition is that the difference between the distance to this object measured by a scan that is the highest or nearly the highest in the vertical direction and the measured distance to a front going vehicle corresponding to the object is within a predetermined range.