Radar Coverage Region Determination Using Lidar Reference
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Solution Overview
Problem
Existing systems for calibrating radar devices on machines are not cost-effective as they require multiple sensors and do not provide graphical representations of coverage regions, limiting their effectiveness in detecting objects accurately.
Innovation Solution
A computer-implemented method and system that uses lidar data to determine and display the coverage region of a radar device by comparing radar data points to lidar data points, allowing for the generation of graphical representations of the radar coverage area and calibration of the radar device's location and orientation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors (vision sensor and lidar sensor) are mounted to the vehicle for object detection, then object detection accuracy is improved, but system cost and complexity increase
Solution Approach 1:
The patent uses a lidar sensor to scan the environment and create a reference point cloud map, then compares radar detection results against this reference map to determine coverage regions and accuracy. This copying approach allows the radar to be calibrated and evaluated without requiring simultaneous operation of multiple sensor types for detection, reducing system complexity while maintaining detection accuracy through reference comparison
Solution Approach 2:
The patent introduces a coverage determination system as an intermediary that processes data from both radar and lidar sensors separately. The system uses the lidar point cloud map as an intermediary reference to evaluate radar performance, allowing the two sensors to operate independently rather than requiring complex real-time fusion, thus reducing system complexity while maintaining measurement precision
2Manufacturing precision
If multiple sensors are used for calibration, then calibration accuracy is improved, but calibration cost increases
Solution Approach 1:
The patent performs preliminary lidar scanning to create a reference point cloud map of the environment before evaluating radar coverage. This preliminary action establishes an accurate reference framework that can be used to assess radar performance without requiring multiple sensors to operate simultaneously during calibration, reducing the quantity of sensors needed while maintaining calibration accuracy
Solution Approach 2:
The system creates a copy of the environmental structure through lidar scanning and stores it as a reference map. This copied reference is then used to evaluate radar detection accuracy by comparing detected objects against the reference map, allowing accurate calibration with fewer physical sensors
3Measurement precision
If radar coverage region is determined through data comparison with lidar, then coverage determination accuracy is improved, but computational complexity increases
Solution Approach 1:
The patent segments the coverage determination process into distinct steps: (1) lidar scans to create reference point cloud, (2) radar detects objects independently, (3) system compares radar detections against the reference map, (4) coverage regions are determined based on comparison results. This segmentation allows accurate coverage determination while managing computational complexity through structured processing
Solution Approach 2:
The system uses a copied reference point cloud map from lidar scanning to evaluate radar coverage. By comparing radar detections against this static reference copy rather than requiring real-time lidar-radar data fusion, the system achieves accurate coverage determination while reducing computational complexity
Data Source
AI summary
A system for determining a coverage region of a radar device is disclosed. The system may have one or more processors and a memory. The memory may store instructions that, when executed, enable the one or more processors to receive radar data generated by a radar device and lidar data generated by a lidar device. The radar data may include radar data points representing objects detected by the radar device and the lidar data may include lidar data points representing objects detected by the lidar device. The one or more processors may be further enabled to determine a radar coverage region for the radar device by comparing one or more radar data points to one or more lidar data points, and to generate data used to display a graphical representation of the radar coverage region.