Radar Vehicle Length Prediction for Stop Line Detection
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Solution Overview
Problem
Existing methods for detecting traffic violations using radar devices are limited in their ability to accurately predict when the front of a vehicle will cross a stop line, especially when only the rear of the vehicle is measurable, leading to missed violations.
Innovation Solution
An FMCW radar device with a radar sensor that emits radiation with a specific opening angle, allowing for the derivation of radial speed and distance, and position variables, which are used to determine when the front of the vehicle will cross the stop line by analyzing changes in position variables over time and vehicle speed, even when only the rear is measurable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If radar radiation is directed horizontally along the roadway edge to cover all lanes, then the monitored traffic area is expanded, but the measurement precision of vehicle position (specifically front vehicle position) deteriorates because only the rear of outbound vehicles is measurable
Solution Approach 1:
The system performs preliminary measurements of the rear vehicle position and speed before the front of the vehicle reaches the stop line. Using these preliminary data, the system calculates and predicts the future position of the vehicle front, enabling timely camera activation before the violation occurs.
Solution Approach 2:
The system transitions from direct measurement of vehicle front position to indirect prediction through mathematical modeling. By measuring rear position and speed in one dimension and applying kinematic equations, the system derives front position information without direct measurement, effectively adding a temporal dimension to the measurement process.
2Device complexity
If the radar device measures only the rear of outbound vehicles, then the device complexity is reduced, but the reliability of traffic violation detection deteriorates due to inability to accurately determine when the front crosses the stop line
Solution Approach 1:
The system collects preliminary measurement data of rear vehicle position and speed before the violation occurs. This preliminary data is then processed through prediction algorithms to determine the exact moment when the vehicle front will cross the stop line, enabling proactive camera activation and reliable violation detection.
Solution Approach 2:
The system continuously monitors rear vehicle position and speed, uses this feedback to update predictions of front vehicle position, and adjusts camera activation timing accordingly. This closed-loop feedback mechanism ensures reliable detection even with rear-only measurements.
3Reliability
If camera activation is delayed until the vehicle front is confirmed to have crossed the stop line, then false positives are reduced, but the productivity of violation detection deteriorates because violations are not captured in timely manner
Solution Approach 1:
The system performs preliminary calculations based on current rear vehicle position and speed to predict future front vehicle position. This allows the camera to be activated in advance, before the actual violation occurs, ensuring both timely capture and high reliability by only triggering when predictions indicate a genuine violation.
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 method provides an improved prognosis for detecting traffic violations by accurately predicting when the front of a vehicle will cross a stop line, enabling timely camera activation for evidence photos.
Implementation Method 1
an FMCW radar device (1) with at least one radar sensor (7), which emits radar radiation (11) and receives measurement signals which are caused by reflection from one of the vehicles (6)
Implementation Method 2
receives measurement signals which are caused by reflection from one of the vehicles (6)
Data Source
Figure 1
Figure 2a~2c
Figure 3
AI summary
The method involves deriving length of a vehicle (6) from measuring time-dependent specific position sizes. A position of a rear edge of the vehicle is derived from a specific radial distance, which is closer to a stop line (23). The derived length of the vehicle is added to the determined position of the rear edge of the vehicle. The added value is utilized as a corrected specific radial distance for determination of crossing the stop line such that crossing of a front end of the vehicle is predicted. An independent claim is also included for a device for detecting traffic violations by vehicles in a traffic area.