Perception Algorithm Testing With Simulated Carrier Point Clouds
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Solution Overview
Problem
Existing perception algorithm testing methods are limited by the need for manual handling of physical carriers with fixed shapes and sizes, leading to inefficiencies in generating diverse test point clouds and labor-intensive manual pose measurements, which reduces test precision and efficiency.
Innovation Solution
A simulation-based test method using pre-acquired handling device system parameters and simulation carrier model files to generate diverse simulation carrier point clouds, allowing automated testing of perception algorithms on varied carrier shapes and sizes without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual measurement of carrier pose is used, then test setup is simple, but test efficiency is low and labor consumption is high
Solution Approach 1:
The patent creates virtual copies of carriers with different shapes and sizes in a simulation environment. Instead of manually measuring physical carriers, the system generates simulation carrier point clouds that replicate various carrier geometries, enabling automated testing without physical handling while maintaining test validity.
Solution Approach 2:
The patent replaces the manual mechanical measurement process with an automated computer-based simulation system. The simulation platform automatically generates carrier models, calculates poses, and creates point cloud data, substituting human labor and manual measurement tools with computational algorithms.
2Adaptability or versatility
If physical carriers with fixed shapes and sizes are used, then test setup is straightforward, but test coverage is limited
Solution Approach 1:
The patent systematically varies carrier parameters such as shape, size, and dimensions in the simulation environment. By changing these parameters digitally, the system can test perception algorithms against numerous carrier variations without physically constructing different carriers, thereby expanding test coverage while managing complexity through virtual parameter adjustment.
Solution Approach 2:
The simulation platform serves multiple functions: it generates carrier models, creates point cloud data, calculates poses, and manages test scenarios all in one system. This multi-functional approach allows diverse carrier testing without requiring separate physical setups for each carrier type, enhancing versatility while consolidating complexity into a unified software platform.
3Measurement precision
If manual pose measurement is performed, then equipment requirements are minimal, but measurement precision is limited
Solution Approach 1:
The patent replaces manual measurement with automated computational calculation of carrier poses. The simulation system uses algorithms to precisely determine carrier positions and orientations based on virtual sensor data, eliminating human measurement errors and significantly reducing the time required compared to manual methods.
Data Source
AI summary
The present disclosure discloses a method for testing an algorithm applied to handling equipment. The method includes generating test cases and corresponding simulation carrier point clouds according to handling device system parameters and simulation carrier model files. Simulation carrier models in the simulation carrier model files are not exactly the same and carrier parameters vary. The method further includes obtaining simulation carrier point clouds corresponding to the simulation carrier models with different shapes and sizes, so that the simulation carrier models may be used to test the to-be-tested perception algorithm. Thereafter, a simulation test result is obtained by performing a simulation test on the to-be-tested perception algorithm with a simulation carrier point cloud corresponding to a target test case.