LiDAR Sensor Test Panel With Pixel Clustering for Complex Scene Simulation
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Solution Overview
Problem
Existing LiDAR sensor test systems have low pixel resolution, making it difficult to simulate complex scenes with multiple objects at different distances and intensities effectively.
Innovation Solution
A test system with a signal generator that aggregates pixels of the same intensity into clusters, allowing for dynamic assignment of intensity resources and increased integration density, using a display panel with a predefined number of pixels and crosspoint switches to control luminous elements, enabling detailed simulation of scenes with varying resolution requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pixels of the display panel are aggregated into clusters of the same intensity, then the effective resolution for simulating complex scenes is improved, but the hardware complexity increases due to additional control mechanisms
Solution Approach 1:
Multiple pixels of the same intensity are merged into clusters, where each cluster is controlled by a single control element. This allows the system to simulate complex scenes with high effective resolution while using fewer physical pixels and control elements, thereby improving simulation capability without proportionally increasing hardware complexity.
Solution Approach 2:
Each control element is designed to control multiple pixels simultaneously, making the control element universal rather than dedicated to a single pixel. This multi-functionality allows the same control mechanism to manage multiple pixels across different clusters, reducing the overall number of control elements needed while maintaining high simulation resolution.
2Quantity of substance
If the number of pixels per control chip is increased beyond the number of intensity elements, then the integration density is improved, but the difficulty of detecting and measuring increases
Solution Approach 1:
The display panel is segmented into multiple clusters, with each cluster containing pixels of the same intensity. This segmentation allows the system to manage a large number of pixels by grouping them into smaller, manageable units, each controlled by a dedicated control element, thereby increasing integration density while maintaining controllable complexity.
Solution Approach 2:
Control elements act as intermediaries between the control chips and the actual pixels. Each control element receives control signals and distributes them to multiple pixels within its cluster, simplifying the control architecture by introducing an intermediate layer that manages the mapping between control signals and pixel outputs.
3Adaptability or versatility
If regions with different resolution requirements are assigned different numbers of pixels, then the adaptability is improved, but the device complexity increases due to dynamic resource allocation
Solution Approach 1:
The system dynamically allocates pixels to different regions based on resolution requirements. Clusters can be configured to have different numbers of pixels assigned to them depending on the importance and detail requirements of specific scene regions, allowing the system to adapt to varying resolution demands while using a fixed hardware architecture.
Solution Approach 2:
Different regions of the display panel are assigned different qualities in terms of pixel density and resolution. Important regions receive higher resolution with more pixels per cluster, while less critical regions use lower resolution with fewer pixels, optimizing the overall system performance by matching resource allocation to local requirements.
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 allows for efficient use of hardware resources, enabling detailed simulation of complex scenes with improved resolution in regions requiring it, while reducing costs and adapting resolution based on scene changes, effectively representing objects at different distances and intensities.
Implementation Method 1
Each of the plurality of luminous elements can be controlled by a corresponding pixel of the display panel assigned to the particular luminous element via optical waveguides
Implementation Method 2
Each of the plurality of luminous elements can be controlled by a corresponding pixel of the display panel assigned to the particular luminous element via optical waveguides
Implementation Method 3
LiDAR (abbreviation for light detection and ranging) light measuring systems are used for the optical measurement of distance and speed. LiDAR light measuring systems emit light and measure the travel time in which the light returns to the LiDAR light measuring system after being reflected on an object.
Data Source
AI summary
A test system for a LiDAR sensor, which comprises a trigger detector and a signal generator connected to the trigger detector, the signal generating unit including a display panel having a predefined number of pixels, and the signal generator being configured to aggregate pixels of the same intensity into a cluster. A method for testing a LiDAR sensor is also provided.