Adaptive Camera Direction Control for Unmanned Driving Images
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Solution Overview
Problem
Existing unmanned driving systems face challenges in acquiring suitable images for navigation due to environmental factors such as strong sunlight and turning motions, which can hinder the detection of appropriate detection points and image capturing directions.
Innovation Solution
A system that includes a moving object, an image acquisition unit, an environmental information acquisition unit, and determination units to dynamically determine the detection point and image capturing direction based on environmental information, such as timing and location, using multiple cameras and machine learning models to ensure accurate image acquisition for unmanned driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If image capturing is performed using a fixed detection point and capturing direction, then the system structure is simple, but the image quality deteriorates under strong sunlight or during turning motions
Solution Approach 1:
The patent implements dynamic adjustment of the detection point and image capturing direction based on environmental conditions. The system changes the detection point from a fixed position to a variable position that adapts to strong sunlight conditions and turning motions, thereby maintaining image quality without requiring a completely complex new system architecture
Solution Approach 2:
The system changes parameters such as the detection point coordinates and capturing direction angles in response to environmental information. By adjusting these parameters dynamically, the system maintains reliable image acquisition under varying conditions like strong sunlight and vehicle turning, without fundamentally redesigning the entire imaging system
2Adaptability or versatility
If the detection point is fixed on the moving object, then the system is simple to implement, but the image becomes unsuitable for detection when the object turns or is exposed to strong sunlight
Solution Approach 1:
The detection point is transformed from a static fixed position to a dynamic position that can be adjusted based on environmental conditions. The system determines optimal detection points in real-time considering factors like strong sunlight direction and vehicle turning angle, thereby achieving both adaptability and detection precision
Solution Approach 2:
The system performs preliminary determination of the detection point and capturing direction based on predicted environmental conditions. By pre-calculating optimal detection parameters before actual image capture, the system ensures detection accuracy is maintained even during rapid environmental changes like vehicle turning or sudden sunlight exposure
Data Source
AI summary
A system comprises: a moving object that moves by unmanned driving using a predetermined detection point included in an image for detection resulting from image capturing of the moving object; an image acquisition unit that acquires the image for detection; an environmental information acquisition unit that acquires environmental information indicating an environment in which the moving object moves by the unmanned driving, the environment having a potential to impact on the image for detection; and a first determination unit that determines at least one of a part of the moving object to be used as the detection point and an image capturing direction of capturing the image for detection in response to the acquired environmental information.