3D Data Acquisition with Rotating LiDAR Depth Correction
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Solution Overview
Problem
Existing three-dimensional reconstruction methods using depth cameras and rotating motors have limited depth range and accuracy, particularly in open environments, leading to significant depth errors and unsuitable performance in outdoor scenes.
Innovation Solution
A data acquisition device with a rotation module, first and second ranging modules, and an image acquisition module, where the first ranging module is a single-line laser radar and the second ranging module is high-precision, allowing for omnidirectional data collection and error correction using perpendicular directions and synchronized data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a plurality of sensors are arranged in a vehicle to acquire comprehensive data, then the comprehensiveness of acquired data is improved, but the cost and device complexity increase
Solution Approach 1:
The single sensor unit is designed to perform multiple functions: acquiring both image data and sensor data (acceleration, angular velocity, pressure, temperature) simultaneously. This multi-functional sensor replaces what would traditionally require multiple separate sensors, reducing system complexity while maintaining comprehensive data acquisition capabilities
2Measurement precision
If sensor data is used to correct image data, then the accuracy of acquired data is improved, but the processing time increases
Solution Approach 1:
The system performs preliminary actions by acquiring both image data and sensor data simultaneously at the same timestamp, and pre-establishes the temporal correspondence between them. This preliminary synchronization enables faster processing during correction operations, as the data alignment is already done before the actual correction algorithm is applied
3Reliability
If image data and sensor data are acquired simultaneously, then the temporal correspondence between data is improved, but the data processing complexity increases
Solution Approach 1:
The data processing is segmented into distinct modules: image data processing, sensor data processing, temporal correspondence verification, and correction application. Each module handles a specific aspect of the data fusion, making the overall complex process more manageable and systematic
Data Source
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AI summary
Embodiments of the present disclosure disclose a data acquisition device, a data correction method and apparatus, and an electronic device. The data acquisition device includes: a rotation module, a first ranging module, and an image acquisition module. The rotation module is configured to drive the data acquisition device to rotate in a first direction. The first ranging module is configured to rotate in the first direction along with the data acquisition device, is further configured to rotate in a second direction, and is further configured to measure first ranging data. The first direction is different from the second direction. The image acquisition module is configured to rotate in the first direction along with the data acquisition device, and is further configured to acquire image data in a three-dimensional scene. The data acquisition device in this technical solution has low costs and high precision of acquired data.