Autonomous Vehicle Sensor Obstruction Detection and Mitigation
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Solution Overview
Problem
Autonomous vehicles face operational challenges due to sensor obstructions such as dirt, bird droppings, bugs, lens scratches, or moisture, which can lead to inaccurate data and hinder object detection and navigation.
Innovation Solution
A system that detects obstructions on sensors using various methods like signal comparison, image tracking, and machine learning, and initiates responses such as actuator activation to mitigate or remove the obstructions, ensuring accurate data collection and vehicle operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the sensor operates autonomously without operator assistance, then the automation level increases, but the ability to detect and remove obstructions decreases
Solution Approach 1:
The system enables the sensor to self-diagnose obstructions by analyzing its own output signals for patterns indicating blockage, and self-correct by activating associated actuators to remove the obstructions, eliminating the need for operator intervention while maintaining reliability
Solution Approach 2:
The system continuously monitors sensor output signals and uses feedback analysis to detect obstructions, comparing signal patterns against known obstruction signatures to trigger appropriate corrective actions, ensuring sustained operational reliability
2Productivity
If obstructions are present on the sensor, then the sensor can still capture data, but the measurement precision deteriorates
Solution Approach 1:
The system performs preliminary detection of obstructions by analyzing sensor output signals for obstruction indicators before the obstructions significantly degrade measurement precision, and activates actuators to remove them proactively, preventing accuracy deterioration
Solution Approach 2:
The system applies preliminary anti-action by detecting obstruction patterns in sensor signals and triggering corrective actions before the obstructions can substantially impair measurement precision, countering the degrading effect in advance
Data Source
AI summary
A system may be configured to detect an obstruction on sensor at least partially obstructing or distorting a portion of the field of view of the sensor. The system may also be configured to mitigate the effects of the obstruction or at least partially remove the obstruction from the sensor. The system may be configured to receive one or more signals from a sensor configured to generate signals indicative of an environment, which may include one or more objects, in which the sensor is present. The system may be configured to determine, for example, classify, based at least in part on the one or more signals, an obstruction or distortion on a surface of the sensor, and initiate a response, based at least in part on the determination, to mitigate effects of the obstruction and/or at least partially remove the obstruction.


