Ladar Installation Accuracy Verification via Interior Wall Scanning
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Solution Overview
Problem
Ladar sensors in autonomous vehicles are prone to skewing during installation, affecting their accuracy in detecting obstacles and navigating safely.
Innovation Solution
A position detecting method and device that uses a ladar to detect interior room walls, generate a point cloud image, and judge the installation accuracy by checking wall parallelism and concentric circle spacings, with the option to adjust the rotation axis for calibration if necessary.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If ladar is installed on autonomous vehicle to detect obstacles, then detection capability is improved, but installation skewing occurs causing position detection inaccuracy
Solution Approach 1:
The system performs preliminary position detection by scanning interior walls before final installation confirmation. The ladar detects wall positions and generates point cloud images to verify installation accuracy, allowing correction of skewing issues before the system is deployed for obstacle detection
Solution Approach 2:
The system uses feedback from detected wall positions to determine installation accuracy. By comparing detected wall positions with expected positions in the point cloud image, the system provides feedback on whether the ladar is properly aligned, enabling correction of installation skewing
2Manufacturing precision
If ladar detects interior walls for position calibration, then installation accuracy is verified, but detection time is increased
Solution Approach 1:
The system performs partial detection by focusing only on interior walls for installation calibration rather than scanning the entire environment. This selective approach verifies installation accuracy without requiring complete environmental mapping, reducing the time penalty
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
Ensures accurate installation of ladar sensors, enhancing their ability to detect obstacles and improve navigation safety by providing a calibration mechanism for correcting skewing issues.
Implementation Method 1
detecting, through a ladar disposed on an autonomous vehicle, detection data of at least one wall of an interior room in which the autonomous vehicle is located
Data Source
AI summary
The present application provides a position detecting method, device and storage medium for a vehicle ladar, where the method includes: detecting, through a ladar disposed on an autonomous vehicle, detection data of at least one wall of an interior room in which the autonomous vehicle is located, obtaining a point cloud image according to the detection data of the at least one wall, and judging, according to the point cloud image, whether an installation position of the ladar is accurate. According to the technical solution, it is possible to accurately detect whether the installation position of the ladar is accurate, provide a prerequisite for calibration of the installation position of the ladar, and improve detection accuracy of the ladar for obstacles around the autonomous vehicle.