ADAS Target Positioning With Mobile LiDAR for Precise Calibration
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing ADAS calibration systems are expensive, cumbersome, inefficient, and imprecise, and require significant space, making them difficult to implement in service centers.
Innovation Solution
A mobile device with a camera and LiDAR is used to scan the vehicle and physical target, generating frame data for tracking and positioning virtual targets in real-time, allowing precise alignment of physical targets for ADAS calibration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional ADAS calibration systems are used, then calibration can be performed, but the systems are expensive, cumbersome, and require significant space
Solution Approach 1:
The patent replaces complex mechanical calibration systems with a mobile computing device equipped with camera and LiDAR sensors. The mechanical positioning infrastructure is substituted by digital scanning, tracking, and augmented reality guidance, eliminating the need for expensive fixed calibration equipment while maintaining calibration accuracy.
Solution Approach 2:
The patent creates a digital copy of the physical environment by scanning the vehicle and calibration targets with LiDAR and camera sensors. This digital model is then used for tracking and guidance, replacing the need for physical measurement tools and complex mechanical positioning systems.
2Measurement precision
If traditional calibration positioning methods are used, then targets can be positioned, but positioning precision is insufficient due to lack of spatial control
Solution Approach 1:
The patent implements real-time feedback by continuously scanning the environment with LiDAR and camera, tracking the calibration targets, and providing augmented reality visual feedback to the technician. The system shows the current position of targets relative to their desired positions, enabling precise positioning through continuous monitoring and guidance.
Solution Approach 2:
The patent adds a digital visualization layer through augmented reality, projecting virtual overlays that show the three-dimensional spatial relationships and correct target positions. This additional dimensional information (visual guidance layer) helps technicians accurately position targets without requiring complex manual measurement and calculation.
3Productivity
If manual calibration procedures are used, then calibration can be performed, but the process is time-consuming and inefficient
Solution Approach 1:
The patent enables continuous scanning and tracking during the calibration process. The mobile device continuously captures data from LiDAR and camera sensors, maintaining an updated digital model of the environment and targets throughout the procedure. This continuous operation eliminates interruptions and manual repositioning, streamlining the calibration workflow.
Solution Approach 2:
The system performs automatic tracking and positioning calculations without requiring manual intervention. The mobile device autonomously scans the environment, tracks target positions, computes spatial relationships, and provides guidance overlays, reducing the technician's role to simply positioning targets based on visual feedback rather than performing complex measurements and calculations.
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 method provides a cost-effective, space-efficient, and precise ADAS calibration process that can be performed by a single technician, improving the accuracy and ease of calibration in service settings.
Implementation Method 1
a mobile device with a camera and LiDAR to scan and track a vehicle and physical ADAS targets
Data Source
AI summary
A method of calibrating an advanced driver assistance system (ADAS) for a vehicle comprises: receiving first information by a mobile device that has a camera and a light detection and ranging (LiDAR) device, the first information comprising a three-dimensional (3D) specification of physical dimensions for the vehicle having the ADAS; scanning, by the mobile device, the vehicle and a physical target for the ADAS, the scanning performed with the camera and the LiDAR device after receiving the first information, the scanning generating frame data; tracking, by the mobile device, the vehicle in the frame data using the first information; generating, by the mobile device, an output indicating whether the physical target is positioned at a target location for the ADAS; and initiating, after the output is generated, a calibration process of the ADAS that uses the physical target.