LiDAR Receiving Chip Layout for Selective Echo Signal Readout
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Solution Overview
Problem
Existing LiDAR systems face high hardware costs, overheating, and reduced performance due to the need to activate all photoelectric sensors for signal processing, leading to point cloud expansion and reduced object recognition accuracy, especially when detecting high-reflectivity objects.
Innovation Solution
A photoelectric sensor system that selectively activates common anodes and cathodes of photoelectric sensor groups, allowing only valid echo signals to be processed, reducing processing burden and avoiding data overload.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all photoelectric sensor units are activated to read all echo signals, then complete signal processing is achieved, but hardware cost increases and devices overheat leading to performance attenuation
Solution Approach 1:
The patent divides the photoelectric sensor array into multiple sensor groups, where each group shares common anodes and has independent cathodes that can be selectively activated. This segmentation allows only the necessary sensor groups to be activated based on the light spot position, reducing the number of active devices and thereby lowering heat generation while maintaining complete signal processing capability.
Solution Approach 2:
The patent implements local activation of photoelectric sensor groups based on the spatial distribution of echo signals. By determining which sensor groups correspond to the current light spot area and activating only those groups, the system achieves localized processing rather than global processing, reducing overall power consumption and heat generation while maintaining processing completeness for relevant signals.
2Productivity
If all photoelectric sensor units are activated, then all echo signals are processed, but processing load increases leading to device overheating and performance attenuation
Solution Approach 1:
The patent segments the photoelectric sensor array into multiple independently controllable groups with shared anodes and independent cathodes. This segmentation enables selective activation of only those sensor groups receiving echo signals, reducing the total number of active processing channels and thereby decreasing processing time and thermal load while maintaining adequate processing capacity for valid signals.
Solution Approach 2:
The patent applies partial action by activating only the necessary portion of photoelectric sensor groups based on the current light spot position and echo signal distribution. Instead of activating all sensors (excessive action), the system activates only the minimal required groups to handle current processing needs, optimizing the balance between processing capacity and time/energy consumption.
3Measurement precision
If high-reflectivity objects are detected, then echo signal strength increases, but point cloud expansion occurs affecting object recognition capability
Solution Approach 1:
The patent segments the photoelectric sensor array into groups that can be independently activated. When detecting high-reflectivity objects that produce strong echo signals, the system can activate only the specific sensor groups receiving these signals, preventing saturation and point cloud expansion by limiting the number of active sensors. This segmentation approach maintains measurement precision for strong signals while avoiding the information loss caused by point cloud expansion.
Solution Approach 2:
The patent implements local activation of sensor groups based on the spatial location of echo signals. For high-reflectivity objects producing intense echo signals in specific areas, the system activates only the corresponding local sensor groups rather than all sensors. This localized processing prevents the diffusion and expansion of point cloud data while maintaining accurate detection of the strong echo signals, thereby preserving object recognition capability.
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 enhances detection accuracy and reliability by dynamically adjusting the number and position of activated receiving devices, ensuring stable operation and minimizing crosstalk from high-reflection features.
Implementation Method 1
an array photoelectric sensor including at least two arrayed photoelectric sensor groups... configured to turn on the common anodes and the cathodes of part of the photoelectric sensor groups to obtain digital signals corresponding to part of echo signals
Data Source
AI summary
A photoelectric sensor system, a receiving chip, and a LiDAR are provided. The photoelectric sensor system includes a planar array photoelectric sensor and a control circuit. The planar array photoelectric sensor includes at least two array-arranged photoelectric sensor groups, and the common anodes of the photoelectric sensor groups in each row or each column are connected. The first end of the control circuit is connected with the common anodes of the photoelectric sensor groups in each row or each column, and the second end of the control circuit is connected with the cathodes of each photoelectric sensor group. The control circuit is used for conducting the common anodes and the cathodes of a portion of the photoelectric sensor groups to obtain digital signals corresponding to a portion of echo signals.