Mobile ADAS Calibration Target Positioning for Flexible Factory Inspection
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Solution Overview
Problem
Conventional ADAS inspection methods in vehicle factories face scalability limitations due to the need for fixed calibration targets, requiring significant space and manpower, and are inflexible in accommodating various vehicle models and additional functions.
Innovation Solution
A system and method utilizing a mobile manipulator (MMP) with an autonomous mobile robot and a manipulator that moves a mobile calibration target to inspect ADAS sensors, allowing flexible positioning and operation without the need for complex frame structures, enabling efficient inspection of ADAS sensors across different vehicle models and specifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed calibration target is used for ADAS inspection, then the inspection process is stable and reliable, but the system requires significant space and has poor scalability
Solution Approach 1:
The patent transforms the fixed calibration target into a mobile manipulator system with autonomous mobile robot capabilities. The calibration target can dynamically reposition itself to different locations around the vehicle, replacing the static fixed target with a dynamic mobile system that reduces space requirements while maintaining inspection reliability.
Solution Approach 2:
The mobile manipulator is designed to serve multiple functions: it can position calibration targets, move to different inspection locations, and accommodate various vehicle models. This multi-functional design eliminates the need for separate fixed targets for each inspection scenario, reducing overall space requirements while maintaining comprehensive inspection coverage.
2Adaptability or versatility
If multiple calibration targets are configured for different ADAS sensor types, then inspection coverage is comprehensive, but the system complexity and construction requirements increase
Solution Approach 1:
The mobile manipulator is designed as a universal platform that can handle multiple ADAS sensor types (cameras, radars, lidars) with a single system. It carries multiple calibration targets of different types and can reposition them as needed, eliminating the need for separate fixed target systems for each sensor type while maintaining comprehensive inspection coverage.
Solution Approach 2:
The patent combines multiple calibration targets and positioning functions into a single mobile manipulator system. Instead of having separate fixed targets for cameras, radars, and lidars, the mobile system integrates all these functions into one unified platform that can service all sensor types, thereby reducing overall system complexity.
3Adaptability or versatility
If mechanical movement structures are added to adjust calibration target position, then flexibility is improved, but the system requires additional construction and more manpower
Solution Approach 1:
The patent replaces traditional mechanical movement structures (cylinders, servomotors) with an autonomous mobile robot platform that uses navigation and control systems for positioning. This substitution eliminates complex mechanical linkages and reduces construction requirements while maintaining position flexibility through software-controlled autonomous navigation.
Solution Approach 2:
The mobile manipulator is equipped with autonomous navigation capabilities, allowing it to self-position to required locations without external mechanical assistance or manual intervention. The system uses onboard sensors and control algorithms to autonomously navigate to inspection points, eliminating the need for additional mechanical positioning infrastructure and reducing manpower requirements.
4Measurement precision
If fixed calibration targets are used for different vehicle models, then inspection accuracy is maintained, but the system cannot flexibly accommodate various vehicle specifications
Solution Approach 1:
The mobile manipulator provides dynamic adaptability to different vehicle models while maintaining inspection accuracy. It can reposition calibration targets to appropriate locations for each vehicle type and use vision sensors to detect and compensate for position deviations, ensuring accurate inspections across various vehicle specifications without requiring model-specific fixed targets.
Solution Approach 2:
The system incorporates vision sensors that detect calibration target positions and provide feedback for compensation. When inspecting different vehicle models, the vision system identifies position deviations and the control unit adjusts the calibration target positioning accordingly, maintaining inspection accuracy across various vehicle specifications through real-time feedback and correction.
Data Source
AI summary
A system for inspecting an advanced driver assistance system (ADAS) using a mobile manipulator (MMP) of a vehicle factory includes the MMP including an autonomous mobile robot (AMR) coupled integrally with a manipulator that changes a position of a calibration target unit mounted to inspect the ADAS of a vehicle; and a server that transmits an ADAS inspection command to the MMP through an access point when the vehicle entering an inspection process is recognized and a centering of the vehicle is completed, in which the MMP inspects a mounting state of an ADAS sensor by moving the calibration target unit to a target position while moving to at least one of the front, rear and both sides of the vehicle according to the ADAS inspection command.