Roadside Camera-Radar Array With Event-Triggered Imaging
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Solution Overview
Problem
The high cost and energy consumption of intelligent roadside units due to the need for accurate radar systems and extensive data processing, which affects their stability and efficiency.
Innovation Solution
Implementing a circular radar array and camera array with a controller that activates cameras only when detecting approaching vehicles, reducing unnecessary data processing and energy consumption by keeping other cameras in a standby state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If high accuracy radar systems are used to detect obstacles, then detection precision is improved, but device cost increases
Solution Approach 1:
The system segments the detection task between multiple low-accuracy radars arranged in a circular array, where each radar covers a specific angular sector. By distributing the detection burden across multiple simpler units rather than using a single high-accuracy radar, the system achieves comprehensive coverage with reduced individual component costs.
Solution Approach 2:
Multiple radar detection results are merged and integrated by the controller to form a complete obstacle detection picture. The controller combines data from all radar units, applying signal processing and data fusion techniques to achieve overall high detection precision that compensates for individual radar limitations.
2Productivity
If all cameras are activated continuously to capture images, then image capture completeness is improved, but energy consumption increases
Solution Approach 1:
Instead of continuous operation, cameras are activated periodically and selectively based on detection events. The system uses a trigger mechanism where cameras are activated only when radars detect obstacles in their respective sectors, transitioning from continuous periodic action to event-driven periodic action that reduces energy consumption while maintaining capture completeness.
Solution Approach 2:
The system applies local quality by activating only the specific camera units corresponding to radar sectors where obstacles are detected, rather than activating all cameras uniformly. This localized activation strategy maintains image capture completeness for relevant areas while minimizing energy consumption in inactive regions.
3Productivity
If all cameras process data continuously, then data processing completeness is improved, but system stability decreases
Solution Approach 1:
Data processing is performed periodically based on detection events rather than continuously. The controller initiates data processing only when obstacles are detected, reducing the cumulative processing load and preventing system overload, thereby improving stability while maintaining processing completeness for relevant data.
Solution Approach 2:
The system performs partial data processing by focusing computational resources only on data from active camera units and relevant detection sectors, rather than processing all possible data continuously. This selective partial processing maintains completeness for critical information while reducing overall system load and improving stability.
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 reduces the cost and energy consumption of intelligent roadside units while maintaining accuracy, improving their stability and operational efficiency by selectively activating cameras based on radar detection results.
Implementation Method 1
a circular radar array, including a plurality of radars for detecting obstacle information in different road directions respectively
Implementation Method 2
a circular camera array, including a plurality of cameras for capturing images in different road directions respectively
Data Source
AI summary
The present disclosure describes an intelligent roadside unit and a control method thereof, comprising: a circular camera array, including a plurality of cameras for capturing images in different road directions respectively; a circular radar array, including a plurality of radars for detecting obstacle information in different road directions respectively; and a controller configured to determine whether a vehicle is approaching according to the obstacle information detected by the radars, to turn on a camera corresponding to the radar that has detected the approaching of the vehicle to capture an image, and to control the cameras corresponding to the radars that have not detected the approaching of the vehicle to be in a standby state.