Vehicle Radar Interference Detection for Sensor Confidence Control
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Solution Overview
Problem
Autonomous vehicles face interference issues from nearby emitters, leading to sensor impairment that affects navigation accuracy and reliability.
Innovation Solution
Utilize interference properties to detect sensor impairment by evaluating spatial relationships and power levels of RF signals, adjusting confidence levels, and controlling vehicle operations accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If radar signals are used for autonomous vehicle navigation, then navigation capability is enabled, but sensor impairment from interference reduces measurement precision
Solution Approach 1:
The patent converts harmful interference signals into useful diagnostic information. By analyzing the interference patterns and comparing received power levels against expected values based on spatial relationships, the system detects sensor impairments such as radome fouling. This transforms the previously harmful interference into a beneficial detection mechanism that maintains navigation reliability.
Solution Approach 2:
The system implements feedback by continuously monitoring radar signal characteristics and comparing them against expected values. When interference is detected, the system adjusts confidence levels in sensor data and can trigger cleaning operations or alternative navigation strategies, creating a closed-loop system that maintains navigation precision despite environmental challenges.
2Reliability
If confidence in radar data is decreased due to interference, then navigation safety is improved, but navigation reliability deteriorates
Solution Approach 1:
The system dynamically adjusts confidence levels in radar data based on real-time interference conditions. Rather than using fixed confidence thresholds, the system modulates trust in sensor data according to the severity and characteristics of detected interference, enabling flexible navigation decisions that balance safety and efficiency.
Solution Approach 2:
The system changes operational parameters such as confidence levels and navigation mode selections based on interference detection results. By adjusting these parameters dynamically, the system maintains safe navigation while minimizing the impact on navigation efficiency and productivity.
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
Enhances navigation performance by identifying and addressing sensor impairments in real-time, improving vehicle systems' ability to navigate safely and accurately.
Implementation Method 1
receiving, at a computing device and from a radar coupled to a vehicle, radio-frequency (RF) signals propagating in an environment of the vehicle
Data Source
AI summary
Example embodiments relate to methods and systems for using interference to detect sensor impairment. Radar or another type of sensor on a vehicle may receive radio-frequency (RF) signals propagating in the environment. These RF signals may originate from an external source and a computing device can be used to determine a distance and an angle to the source in order to identify a power level threshold that represents an expected power associated with the RF signals. The computing device may then perform a comparison between a power level of the RF signals and a power level threshold. Based on the comparison, the computing device may decrease a confidence assigned to the radar coupled to the vehicle and control the vehicle based on the decreased confidence assigned to the radar.