Infrastructure Sensor Sway Compensation via Motion Function
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Solution Overview
Problem
Infrastructure sensors in automotive applications face challenges due to mechanical swaying of their mounts, which affects their calibration and accuracy, particularly in environments like wind-affected areas, where existing methods are inadequate for continuous compensation, especially for sensor types other than cameras.
Innovation Solution
A method and device that utilize a sway estimation module to process data from infrastructure sensors, determining a motion function for the mounting device and providing correction information to account for mechanical sway, enabling computational compensation across various sensor types, including those that cannot self-correct, by integrating data from different sensors and using optical flow analysis or landmark detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If infrastructure sensors are mounted on masts to enable environmental monitoring, then the sensors can detect objects and environmental information, but the masts sway due to external influences like wind, causing calibration errors and reducing measurement accuracy
Solution Approach 1:
The patent replaces mechanical stabilization methods with a computational approach. Instead of physically stabilizing the mast structure, the system uses sensor fusion algorithms to detect and compensate for swaying movements in real-time, transforming a mechanical problem into an information processing problem that can be solved through data analysis and correction calculations
Solution Approach 2:
The system implements continuous feedback by monitoring the actual positions of infrastructure sensors using multiple sensor types (cameras, radar, LIDAR, accelerometers) and comparing them against their calibrated positions. The detected deviations are fed back into the correction calculation module, which generates real-time correction values that are applied to maintain accurate measurements despite mast swaying
2Adaptability or versatility
If optical flow algorithms are used to compensate for camera swaying, then camera-based sensors can be corrected, but other sensor types (radar, LIDAR, acoustic sensors) have no known computational compensation method and require periodic recalibration
Solution Approach 1:
The patent creates a universal sway compensation system that works across multiple sensor types (cameras, radar, LIDAR, acoustic sensors, accelerometers) by implementing a multi-sensor fusion approach. The system uses complementary strengths of different sensor types to detect mast movements and applies unified correction calculations to all sensors, making the compensation method adaptable to various sensor technologies rather than being camera-specific
Solution Approach 2:
The system merges data from multiple heterogeneous sensor types (optical, electromagnetic, acoustic, inertial) into a unified sway detection and compensation framework. By combining the unique capabilities of each sensor type, the system achieves more accurate and reliable sway detection than any single sensor could provide alone, enabling comprehensive compensation for all infrastructure sensors on the mast
3Measurement precision
If periodic recalibration is performed to maintain sensor accuracy, then measurement precision can be restored, but the system requires downtime and loses operational time during recalibration periods
Solution Approach 1:
The patent enables continuous operational action by implementing real-time sway compensation that actively counteracts calibration drift during operation. Instead of stopping to recalibrate, the system continuously detects sensor position deviations caused by mast swaying and applies correction values, maintaining measurement precision throughout the operational period without interruption or downtime
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 approach allows for reliable determination and compensation of mechanical sway in infrastructure sensors, improving their accuracy and confidence levels, enabling continuous operation without the need for periodic recalibration and integrating diverse sensor types for comprehensive sway detection.
Implementation Method 1
utilizing optical flow analysis or landmark detection
Data Source
AI summary
A method for operating an infrastructure sensor system, wherein the infrastructure sensor system comprises a plurality of networked infrastructure sensors arranged on a shared mounting device. First, data are transmitted to a sway estimation module by at least one of the infrastructure sensors, wherein the data comprise at least pre-processed data, for example environmental information and/or current measurement data, in particular raw data, detected by the respective infrastructure sensor. The transmitted data are further processed in the next step and the sway estimation module determines therefrom a motion function for the mounting device. Based on the motion function, correction information, for example for at least one of the infrastructure sensors, is now determined by the sway estimation module. The correction information and/or motion function can now be provided for further use, for example, to the respective infrastructure sensors or to a central computing unit.