Autonomous Driving Sensor Alignment Using Fixed-Scene Image Reference
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Solution Overview
Problem
The installation accuracy of sensors in autonomous driving systems, such as cameras and laser-radar, is often compromised due to human error, leading to inefficient manual detection processes that fail to ensure correct installation sequences and angles, impacting environmental perception algorithms.
Innovation Solution
A detection method and apparatus that pre-establishes a standard association relationship between sensor ID information and capturing results in a fixed scene, automatically identifying correct installation sequences and angles by displaying capturing results and adjusting sensor positions and angles based on standard reference marks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual detection methods are used for sensor installation, then operational flexibility is maintained, but detection efficiency and accuracy deteriorate
Solution Approach 1:
The system enables self-service detection by automatically comparing captured images with pre-stored standard images to verify sensor installation correctness, eliminating the need for manual professional detection while maintaining high accuracy
Solution Approach 2:
The patent replaces manual mechanical detection processes with an automated optical-digital system that uses image capture, processing, and comparison algorithms to detect sensor installation accuracy, significantly improving efficiency
2Productivity
If automated detection systems are implemented, then detection efficiency is improved, but installation complexity increases
Solution Approach 1:
The system performs preliminary action by pre-storing standard reference images during the sensor installation phase, enabling subsequent automated detection to simply compare against these pre-established standards without requiring complex real-time analysis
Solution Approach 2:
The patent uses copying by creating digital replicas of correct sensor installation states as reference images, allowing the detection system to compare captured images against these copies to verify installation accuracy without requiring complex geometric calculations
3Manufacturing precision
If sensor installation accuracy is not ensured, then installation speed is maintained, but environmental perception algorithm performance deteriorates
Solution Approach 1:
The system performs preliminary verification of sensor installation accuracy before vehicle operation using automated image comparison, preventing incorrect installations from reaching the algorithm processing stage and thus avoiding wasted computational time
Data Source
AI summary
The embodiments of the present disclosure provide a detection method, apparatus for automatic driving sensor, and electronic device. The method includes: pre-establishing a standard association relationship, the sensor to-be-detected is used for capturing in a fixed scene, and a corresponding capturing result is displayed.