LiDAR Echo Convergence for Mapping Offset Ranging
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Solution Overview
Problem
Existing LiDAR systems face issues with echo signal reception due to mapping offset between emission and receiving units, leading to incomplete detection of target objects.
Innovation Solution
A radar data processing method that determines a target receiving unit group to cover mapping offsets, converges echo data, and performs ranging to accurately detect target objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Volume of moving object
If a LiDAR system uses non-coaxial emission and reception units, then the system can be more compact, but the receiving unit cannot effectively receive echo signals due to mapping offset
Solution Approach 1:
The receiving unit is divided into multiple receiving units arranged in an array, where each receiving unit corresponds to a specific emission unit. This segmentation allows the system to handle mapping offset by directing echo signals from different emission units to appropriate receiving units, maintaining reliable signal reception in a compact configuration.
Solution Approach 2:
A processing unit acts as an intermediary to read electrical signals from multiple detectors and converge the signals. This intermediary component coordinates the signals from different receiving units to compensate for mapping offset, ensuring reliable echo signal reception without requiring coaxial alignment.
2Device complexity
If the emission unit and receiving unit are positioned with an interval, then the system structure is simplified, but the target object cannot be detected due to transceiving correspondence mismatch
Solution Approach 1:
Both emission and receiving units are segmented into arrays with corresponding elements. Each emission unit in the array has a designated corresponding receiving unit, creating multiple transceiving channels. This segmentation maintains simple system structure while enabling accurate target detection through proper signal convergence.
Solution Approach 2:
The processing unit performs multiple functions: reading electrical signals from detectors, converging signals from multiple receiving units, and compensating for mapping offset. This multi-functional approach maintains structural simplicity while achieving accurate target detection despite non-coaxial positioning.
3Reliability
If multiple detectors are used to cover mapping offset, then echo signal reception is improved, but data convergence becomes more complex
Solution Approach 1:
The processing unit serves as an intermediary that automatically converges electrical signals from multiple detectors. This intermediary component manages the complexity of processing signals from multiple receiving units, making the data convergence process systematic and manageable while improving echo signal reception reliability.
Solution Approach 2:
The system uses its own processing unit to automatically read and converge signals from its multiple detectors without external intervention. This self-service approach handles the data convergence complexity internally, maintaining reliable echo signal reception while keeping the overall system architecture clean and manageable.
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 complete reception of echo signals by covering mapping offsets and converging data, allowing accurate detection of target objects.
Implementation Method 1
a laser array configured to emit a plurality of laser beams for detecting a target object
Implementation Method 2
LiDARs are usually used in fields such as automated driving, transport vehicles, robots, and public smart transportation due to their advantages such as high resolution, high sensitivity
Implementation Method 3
a detector array configured to receive echoes of the plurality of laser beams emitted by the laser array reflected by the target object and convert the echoes into electrical signals
Data Source
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AI summary
This application is applicable to the field of radar technologies, and provides a radar data processing method, a terminal device and a computer-readable storage medium. 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. A target receiving unit with mapping offset is covered, to receive the echo data, and then a plurality pieces of received echo data is converged, to ensure complete reception of an echo signal. Then, ranging is performed based on converged data, to accurately obtain a position of a target object, thereby solving a problem that a receiving unit in existing LiDAR cannot effectively receive an echo and the target object cannot be detected due to a corresponding transceiving relationship.