3D Scene Projection for Autonomous Vehicle Sensor Verification
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Solution Overview
Problem
Conventional methods for verifying object detection and classification systems in autonomous vehicles are expensive, time-consuming, and limited to specific test scenarios, requiring physical setups that are not efficient for comprehensive performance evaluation.
Innovation Solution
A projection system that projects pre-captured three-dimensional scenes onto a surface in front of the vehicle, allowing the vehicle's controller to verify the object detection and classification routine by comparing generated results with expected outcomes, and adjusting for projection distortion to ensure accurate depth and location detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical scenes are used to test object detection systems, then verification accuracy is improved, but cost and time consumption increase
Solution Approach 1:
The patent uses virtual 3D scenes projected onto surfaces as copies of real-world scenarios to test object detection systems. Instead of physically setting up actual test environments with vehicles, pedestrians, and obstacles, the system projects synthesized 3D scenes that replicate various driving conditions, allowing comprehensive testing without the time and resource costs of physical setups.
Solution Approach 2:
The patent replaces mechanical physical test setups with a projection-based virtual testing system. By substituting physical objects with projected 3D visual scenes, the system eliminates the need for cumbersome physical arrangements while maintaining verification accuracy through realistic visual simulations of various objects and scenarios.
2Adaptability or versatility
If physical scenes are used to test object detection systems, then comprehensive test coverage is improved, but cost increases
Solution Approach 1:
The projection system serves multiple testing functions using a single apparatus. The same projector can display various 3D scenes representing different objects, environments, and conditions, making the testing system universal and adaptable to multiple test scenarios without requiring separate physical setups for each scenario, thereby reducing overall testing costs.
Solution Approach 2:
Virtual 3D scene projections serve as cost-effective copies of diverse real-world test scenarios. The system can project representations of various objects, weather conditions, lighting scenarios, and environmental conditions without the high costs associated with creating and maintaining physical versions of each scenario.
3Device complexity
If projection distortion is not corrected, then system complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The system incorporates feedback mechanisms to detect and correct projection distortion. By monitoring the projected 3D scenes and identifying distortion patterns, the system automatically adjusts projection parameters or applies computational corrections to maintain accurate depth and location measurements, ensuring measurement precision without requiring overly complex hardware modifications.
Data Source
AI summary
An object detection and classification verification system for a vehicle includes a projection system configured to project a three-dimensional (3D) scene pre-captured at a known distance and comprising at least one known object onto a surface in front of the vehicle a controller configured to verify a performance of an object detection and classification routine by performing the object detection and classification routine on the projected 3D scene to generate a set of results, comparing the set of results to a set of expected results associated with the projected 3D scene, and based on the comparing, determining whether the performance of the object detection and classification routine satisfies a predetermined threshold metric.