LiDAR Echo Convergence for Non-Coaxial Target Ranging
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Solution Overview
Problem
Existing LiDAR systems face issues with echo signal reception due to non-coaxial transceiving relationships, leading to ineffective detection of target objects as the receiving unit cannot accurately receive echoes when the target object's position changes.
Innovation Solution
A radar data processing method that involves determining a target receiving unit group covering mapping offsets, obtaining echo data from these units, converging the data to ensure complete reception, and calculating the target object's distance based on the convergence result.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single receiving unit is used in non-coaxial LiDAR, then the device complexity is reduced, but the target object cannot be detected when its position changes due to mapping offset
Solution Approach 1:
The receiving unit is segmented into multiple sub-receiving units arranged in an array. Each sub-receiving unit can independently receive echo signals from different spatial positions, allowing the system to cover mapping offsets caused by target position changes while maintaining a relatively simple overall structure.
Solution Approach 2:
The array of sub-receiving units provides multi-functionality by enabling the system to detect target objects at various positions and angles. The same receiving array can handle different scanning directions and target locations, eliminating the need for separate receiving units for each function.
2Adaptability or versatility
If multiple receiving units are used to cover mapping offsets, then the detection coverage is improved, but the device complexity increases
Solution Approach 1:
The receiving unit is divided into multiple sub-receiving units that can be independently controlled and processed. This segmentation allows each unit to handle specific angular ranges or spatial zones, improving detection coverage while keeping individual unit complexity low.
Solution Approach 2:
The solution transitions from a single-point receiving unit to an array structure, adding spatial dimensionality to the receiving capability. This dimensional expansion enables coverage of mapping offsets in multiple directions simultaneously without proportionally increasing processing complexity.
3Reliability
If echo data from multiple receiving units is converged, then the reception completeness is improved, but the data processing complexity increases
Solution Approach 1:
The system implements feedback mechanisms where echo data from multiple sub-receiving units is continuously monitored and converged. The convergence process uses feedback from detected signal patterns to adjust weighting and selection, ensuring complete reception while managing processing complexity through adaptive algorithms.
Solution Approach 2:
A data convergence module acts as an intermediary between multiple sub-receiving units and the final detection output. This intermediary performs coordinated processing, combining signals from multiple units while filtering and weighting data to maintain reliability without overwhelming computational complexity.
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 detection of target objects by covering mapping offsets and converging echo data, allowing for complete reception of echo signals and precise ranging.
Implementation Method 1
LiDARs are usually used in fields such as automated driving, transport vehicles, robots, and public smart transportation
Implementation Method 2
obtaining echo data received by the target receiving unit group
Data Source
AI summary
A radar data processing method, a terminal device, and a computer-readable storage medium are provided. The method includes: obtaining a target receiving unit group corresponding to an emission unit; obtaining echo data received by the target receiving unit group; converging the echo data to obtain a convergence result; and determining a distance of a target object based on the convergence result.