Mobile Radar Video Tracking Coordinate Transformation
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Solution Overview
Problem
Current vehicle speed detection radar systems require a fixed location for operation, limiting their application to mobile units like handheld or patrol car applications, as they struggle to dynamically map radar data to video data in non-stationary environments.
Innovation Solution
A mobile system that includes a processor-based radar system generating frames of radar data and a processor-based video system generating frames of video data, coupled with a dynamic plane rotation system to map vertically tilted radar data onto a flat plane parallel to the roadway, allowing for the display of speed data next to vehicle locations in video data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a fixed location is used for radar operation, then coordinate transformation calculations are simplified, but the system cannot be applied to mobile units like handheld or patrol car applications
Solution Approach 1:
The patent applies dynamics by making the coordinate transformation system adaptive to mobile conditions. The radar system continuously updates transformation parameters based on real-time mobile unit position and orientation data, allowing the system to function in both fixed and mobile environments. This dynamic adaptation enables patrol car and handheld applications while managing computational complexity through efficient parameter updates.
Solution Approach 2:
The system changes parameters by dynamically adjusting transformation coordinates based on mobile unit motion. Instead of using fixed transformation parameters, the system continuously modifies position and orientation parameters to account for mobile unit movement, enabling accurate speed detection from moving platforms while managing computational load through parameter optimization.
2Reliability
If radar data is mapped without dynamic adjustment, then processing is simpler, but false indications of moving stationary objects occur in mobile applications
Solution Approach 1:
The patent implements feedback by continuously comparing radar-detected object positions with expected positions based on mobile unit motion. The system uses this feedback to distinguish between truly stationary objects and moving objects, adjusting speed calculations accordingly. This feedback mechanism eliminates false indications of moving stationary objects while maintaining reliable speed detection accuracy in mobile applications.
Solution Approach 2:
The system performs preliminary action by pre-calculating expected positions of stationary objects based on mobile unit trajectory and speed. Before processing radar data, the system establishes reference frames that account for anticipated mobile unit movement, allowing it to quickly distinguish between stationary and moving objects during real-time operation without excessive computational complexity.
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
Enables the use of vehicle speed detection radar systems in mobile applications by dynamically mapping radar data to video data, preventing false indications of moving stationary objects and accurately displaying vehicle speeds relative to a stationary observation point.
Implementation Method 1
A mobile radar system operating on a processor is configured to generate frames of radar data that include data for one or more vehicles
Implementation Method 2
Speed detection radar with video supplementation typically requires observation from a fixed location, in order to perform the complex calculations that are required to map the radar data to the video data
Data Source
AI summary
A system for generating video data comprising a mobile radar system operating on a processor and configured to generate vertically tilted radar frame data for a plurality of vehicles. A mobile video system operating on a processor and configured to generate video data of the plurality of vehicles. A dynamic plane rotation system operating on a processor and coupled to the mobile radar system and configured to map the vertically tilted radar frame data onto a flat plane parallel to a roadway to generate mapped data.