LiDAR Echo Sampling Across Adjacent Emissions for Smaller Receivers
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Solution Overview
Problem
LiDAR systems face challenges in miniaturization due to the need for larger receiving areas to accommodate echoes from objects at different distances, leading to higher costs and complexity.
Innovation Solution
A method and apparatus that utilize multiple receiving blocks to sample echoes of laser beams, allowing for the collection of echoes from adjacent emissions by at least two receiving blocks, reducing the number of receiving blocks required and enabling efficient point cloud data generation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a larger receiving area is used to accommodate echoes from objects at different distances, then the reception capability is improved, but the device size and cost increase
Solution Approach 1:
The receiving block is divided into multiple receiving units arranged in rows and columns. Each receiving unit processes echoes from specific angular ranges, allowing the system to handle echoes from objects at different distances using a distributed architecture rather than a single large receiver.
Solution Approach 2:
The patent introduces temporal dimension by having receiving units process echoes from different emission times (current emission and previous emission). This time-based differentiation allows the system to distinguish between close and distant objects without requiring a physically larger receiving area.
2Measurement precision
If multiple receiving blocks are used to sample echoes from adjacent emissions, then the data accuracy is improved, but the device complexity increases
Solution Approach 1:
Each receiving unit is designed to perform multiple functions: it processes echoes from both current and previous emissions, and can identify objects at different distances. This multi-functionality reduces the need for separate dedicated receivers for different tasks, thereby reducing overall system complexity while maintaining accuracy.
Solution Approach 2:
The system changes the processing parameters of receiving units dynamically based on the emission time and angular position. By adjusting which receiving units process which echoes based on temporal and spatial parameters, the system achieves high data accuracy without requiring a fixed complex architecture.
3Volume of moving object
If echoes from multiple emissions are processed by the same receiving block, then the miniaturization is enabled, but the data processing complexity increases
Solution Approach 1:
The data processing is segmented by assigning specific receiving units to process echoes from specific emission times and angular ranges. This segmentation allows the miniaturized receiving block to handle multiple emissions systematically without overwhelming complexity, as each unit has a defined processing role.
Solution Approach 2:
The system continuously processes echoes from multiple emissions in a streamlined manner, using the output of previous emission processing to inform current emission processing. This continuous operation with overlapping data streams enables miniaturization by avoiding the need for separate processing chains for different temporal data.
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 size of LiDAR systems while maintaining data accuracy by efficiently collecting and compressing point cloud data, contributing to miniaturization.
Implementation Method 1
sampling echoes of a laser beam emitted for one time by at least two receiving blocks
Implementation Method 2
the echoes of the laser beam reflected by objects at different distances to the LiDAR
Implementation Method 3
LiDAR is an active remote sensing device that uses optoelectronic technology for detection. It combines optoelectronic detection technology with laser technology, making it an advanced detection method that uses laser as the detection light source
Data Source
AI summary
Embodiments of this application provides a LiDAR data processing method and apparatus, the method comprises: emitting laser beams multiple times; sampling echoes of a laser beam emitted for one time by at least two receiving blocks to obtain sampling data of the at least two receiving blocks for the laser beam emitted for one time respectively, a first receiving block in the at least two receiving blocks is used to sample a laser beam emitted for an Nth time and a laser beam emitted for an (N+1)th time; obtaining a point cloud data of the laser beam emitted for one time; and generating a frame of point cloud data based on the point cloud data of the laser beam emitted for one time corresponding to at least one of the receiving blocks, which can reduce the cost of LiDAR.