Vehicle Camera Detection of Transparent Obstacles Using Reflections
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing UAV systems face challenges in detecting transparent elements, such as water or glass, which can lead to collisions or navigation issues, as these elements are often undetectable or difficult to detect using conventional methods, requiring redundant systems like SONAR or RADAR.
Innovation Solution
The implementation of computer vision techniques using image capture devices with cameras and polarization filters on UAVs to analyze images for specular reflections and reflective disparities, allowing the UAV to identify and navigate around transparent elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional detection methods are used, then the system is simple, but transparent elements cannot be detected
Solution Approach 1:
The patent replaces conventional mechanical or electronic detection systems (SONAR, RADAR) with an optical detection system using image capture devices and polarization filters. This substitution enables detection of transparent elements through optical properties (specular reflections and reflective disparities) rather than acoustic or electromagnetic wave methods, achieving reliable transparent element detection without requiring complex redundant navigation systems
Solution Approach 2:
The patent changes the detection parameter from general object detection to specific optical property detection. By capturing images at different polarization states and analyzing specular reflections and reflective disparities, the system transforms the detection approach to target the unique optical characteristics of transparent elements, enabling reliable detection through parameter transformation
2Reliability
If redundant systems like SONAR or RADAR are added, then detection reliability improves, but device complexity increases
Solution Approach 1:
The patent makes the image capture device multi-functional by enabling it to perform both standard visual navigation and transparent element detection using the same hardware component. By utilizing polarization filters and analyzing reflective properties, the existing camera system achieves dual functionality, eliminating the need for separate SONAR or RADAR systems while maintaining detection reliability
Solution Approach 2:
The patent merges the transparent element detection function with the existing visual navigation system. Instead of adding separate redundant systems, the invention combines polarization filtering, image capture, and reflection analysis into the current navigation framework, achieving integrated detection that reduces overall system complexity while improving reliability
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 enables UAVs to effectively detect and navigate around transparent elements, reducing the need for redundant navigation systems and improving overall UAV functionality by enhancing safety and efficiency.
Implementation Method 1
analyzing the images to a determine a presence of a specular reflection in the images
Implementation Method 2
The second image may be captured using a second polarization filter, different from the first polarization filter
Data Source
AI summary
A system for detecting transparent elements in a vehicle environment are described. In some examples, this may include accessing an image of a scene captured by an image capture device attached to a vehicle. A reflected image present in the image may be detected. The reflected image may include a portion of the vehicle. It may be determined that the scene includes a transparent element based at least in part on detecting the reflected image present in the image.