Ambient Light Sensor for Object Detection Color Correction
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Solution Overview
Problem
Autonomous vehicles face challenges in accurately detecting objects due to variations in perceived color caused by ambient light, which can lead to incorrect identification and inappropriate vehicle responses.
Innovation Solution
Equipping vehicles with dedicated ambient light sensors to measure and account for ambient light characteristics, allowing for more accurate estimation of an object's true color, which is then used by machine-learning models for improved object detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If optical sensors are used for object detection, then the vehicle can identify objects in the environment, but the perceived color of objects varies due to ambient light, leading to detection inaccuracies
Solution Approach 1:
The patent introduces an ambient light sensor as an intermediary device that measures the spectral properties of ambient light. This mediator provides additional information about the lighting conditions, which is then used to compensate for color variations in object detection, thereby resolving the contradiction between detection accuracy and color perception reliability
Solution Approach 2:
The patent changes the parameters of the detection system by incorporating spectral information from ambient light sensors. By measuring and utilizing the spectral characteristics of ambient light across different wavelengths, the system adjusts its object detection parameters to account for lighting variations, maintaining reliable color perception under different ambient light conditions
2Productivity
If the vehicle uses color information for object identification, then object detection can be improved, but ambient light variations cause perceived color to differ from true color, reducing detection accuracy
Solution Approach 1:
The patent implements a feedback mechanism where ambient light sensor data is continuously fed back to the object detection system. This feedback loop allows the system to dynamically adjust its color interpretation based on measured ambient light conditions, maintaining accurate object identification efficiency while compensating for ambient light-induced color variations
Solution Approach 2:
The ambient light sensor acts as an intermediary that bridges the gap between perceived color and true color. By measuring ambient light spectral properties and using this information to adjust color interpretation, the system maintains both identification efficiency and measurement accuracy
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 the accuracy of object detection in various lighting conditions, ensuring safer and more appropriate vehicle responses by providing a more reliable representation of object colors independent of ambient light influences.
Implementation Method 1
the reflected light detected by the sensor depends not only on the intrinsic reflectance properties of the object but also the spectral properties of the ambient light that reflects off the object
Implementation Method 2
an ambient light sensor of the vehicle to generate ambient light measurements indicating an intensity of the ambient light at different wavelengths
Data Source
AI summary
In one embodiment, a method includes receiving an image of an object captured in a geographic location. The method includes determining the geographic location associated with the image. The geographic location is represented in a map that includes one or more ambient light measurements corresponding to one or more geographic locations. The method includes using the one or more ambient light measurements corresponding to the geographic location in the map associated with the image to generate a color corrected image. The method includes determining a classification of the object using the color corrected image.