Vehicle Sensor Obstruction Detection via Reflected Light Analysis
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Solution Overview
Problem
Vehicle sensors, such as cameras and lidars, can experience degraded performance due to obstructions like dirt, snow, or water, which can impact navigation, obstacle detection, and object avoidance.
Innovation Solution
The implementation of a light source, like an LED, within the sensor to emit light that reflects off the sensor's surface, allowing the vehicle to analyze the reflected light and determine if the sensor is obstructed based on characteristics such as intensity or area of illumination.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle sensors are used to collect sensor data for navigation and obstacle detection, then the vehicle can navigate and detect obstacles, but the sensor data quality may become degraded when sensors are obstructed by dirt, snow, water, and/or other substances
Solution Approach 1:
The system performs preliminary detection of sensor obstructions by analyzing sensor data quality indicators (such as image clarity, signal strength, or detection confidence) before navigation and obstacle detection tasks are performed. When obstruction is detected, the system can alert the driver or automatically adjust sensor usage, preventing degraded sensor data from compromising navigation safety.
Solution Approach 2:
The system continuously monitors sensor data quality metrics and provides feedback about sensor obstruction status. This feedback loop allows the vehicle to track changes in sensor performance over time and adjust its operation accordingly, such as switching to alternative sensors or alerting the driver to clean the affected sensor.
2Speed
If the vehicle relies on sensor data for navigation and obstacle avoidance, then real-time navigation is enabled, but navigation and obstacle detection may be impacted when sensor data is suboptimal or unsuitable
Solution Approach 1:
The system performs preliminary assessment of sensor data quality before using the data for navigation decisions. By checking data suitability in advance, the system can prevent using suboptimal data that would compromise navigation accuracy, while still maintaining real-time response capabilities through rapid quality assessment.
Solution Approach 2:
The system dynamically adjusts navigation parameters such as detection thresholds, confidence levels, or sensor selection based on real-time sensor data quality measurements. When sensor data quality degrades, the system can increase confidence thresholds or switch to alternative sensors, maintaining navigation reliability without sacrificing real-time response.
3Duration of action of stationary object
If the vehicle uses sensor data in adverse weather conditions, then navigation continuity is maintained, but sensor data quality becomes degraded due to dirt, snow, water, and/or other substances
Solution Approach 1:
The system continuously monitors sensor data quality during adverse weather conditions and provides feedback about degradation levels. This enables the vehicle to maintain navigation continuity by switching to alternative sensors or adjusting detection parameters when quality degradation is detected, ensuring reliable operation throughout the adverse weather event.
Solution Approach 2:
The system dynamically adjusts navigation and detection parameters based on real-time sensor quality assessment during adverse weather. When quality degradation is detected, the system can modify detection thresholds, increase integration times, or switch to redundant sensors, maintaining navigation continuity and reliability throughout the adverse weather conditions.
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 enables the vehicle to effectively identify and potentially mitigate sensor obstructions, ensuring reliable navigation and obstacle detection even in adverse weather conditions.
Implementation Method 1
a light source, such as a light-emitting diode (LED), may emit light... At least a portion of the light may reflect off a surface of the sensor
Data Source
AI summary
Techniques for identifying when a sensor of a vehicle is obstructed. For instance, the sensor may include a light source (e.g., a light-emitting diode), a main sensor, a lens, a window, and/or a light sensor. The light source of the sensor may emit light, where the main sensor and/or the light sensor generate sensor data representing at least a portion of the light that is reflected. The vehicle may then determine a characteristic associated with the at least the portion of the light, such as an area of illumination or an intensity of the at least the portion of the light. Next, the vehicle may compare the characteristic to a threshold in order to determine whether the characteristic satisfies the threshold. Based on the determination, the vehicle may determine whether the sensor is obstructed, such as by a substance being located on the lens and/or the window.