Vehicle Radar Sensor Misalignment Detection and Self-Realignment
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Solution Overview
Problem
Radar sensors in vehicles often become misaligned due to vibrations or impacts, leading to unreliable performance and requiring costly and inconvenient recalibration at specialized facilities.
Innovation Solution
A vehicle sensor system that includes a processor, radar sensors, and reference sensors (such as optical or motion sensors) to detect misalignment by generating and comparing sensor data against high-density maps, allowing for realignment and providing alignment status data within predetermined thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If radar sensors are used for vehicle mapping and localization, then high-definition weather-proof maps can be provided, but the sensors become prone to misalignment due to vibrations or impacts
Solution Approach 1:
The system continuously monitors the alignment status of radar sensors by comparing sensor data with expected measurements from high-definition maps. When misalignment is detected, the system generates alerts and can trigger realignment procedures, creating a closed-loop feedback mechanism that maintains sensor reliability despite vibrations or impacts during vehicle operation
Solution Approach 2:
The misalignment detection and realignment system enables the vehicle to self-diagnose and self-correct sensor alignment issues without requiring external intervention. The system can perform realignment procedures autonomously or guide users through the process, eliminating the need for mandatory trips to specialized service centers for routine alignment checks
2Reliability
If radar sensor misalignment is detected and realignment is performed at specialized facilities, then sensor reliability can be maintained, but the process becomes time consuming and inconvenient for users
Solution Approach 1:
The system empowers vehicle users to perform realignment procedures themselves using onboard resources and guidance systems. The processor provides step-by-step instructions and monitors the realignment process, allowing users to complete adjustments at their convenience without scheduling appointments at dealership service centers
Solution Approach 2:
The patent replaces the traditional mechanical realignment process requiring specialized equipment and facilities with an software-based detection and guidance system. The processor uses algorithmic comparison of sensor data with map data to detect misalignment and guides users through correction procedures, substituting complex mechanical calibration systems with intelligent software control
3Reliability
If radar software allows for misalignment compensation, then sensor reliability can be maintained, but detection of misalignment is still useful to provide for realignment procedures
Solution Approach 1:
The system provides continuous feedback on sensor alignment status by comparing actual sensor measurements with expected values from high-definition maps. This feedback mechanism enables users to understand when realignment is needed and monitor the effectiveness of realignment procedures, making the process transparent and user-friendly rather than requiring specialized knowledge
Solution Approach 2:
The system acts as an intermediary between the radar sensor and the user, translating complex sensor alignment issues into simple, actionable information. The processor analyzes sensor data, compares it with map data, and presents alignment status in an easily understandable format, bridging the gap between complex technical parameters and user comprehension
Data Source
AI summary
A system and method for detecting a level of misalignment of a vehicle sensor, such as a radar sensor, compared to a reference sensor also associated with the vehicle. The reference sensor may comprise a different type of sensor, such as an optical sensor, motion sensor, or position sensor. One or more reference sensors may be utilized in detecting a level of misalignment.