Adaptive Camera Selection for Unmanned Driving Image Capture
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Solution Overview
Problem
Existing unmanned driving systems face challenges in acquiring suitable images for navigation, especially in environments with strong sunlight or during turning motions, which can lead to inadequate image capture for effective unmanned driving.
Innovation Solution
A system that includes a moving object, an image acquisition unit, an environmental information acquisition unit, and determination units to dynamically adjust the detection point and image capturing direction based on environmental factors 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 fixed camera, then the system structure is simple, but the image quality becomes inadequate under strong sunlight or during turning motions
Solution Approach 1:
The patent implements dynamic selection of detection points and image capturing directions based on environmental conditions. The system changes the detection point from a fixed location to a dynamically selected location, and adjusts the image capturing direction according to environmental factors such as strong sunlight or turning motions, thereby improving image quality without requiring a complete system redesign
Solution Approach 2:
The system uses multiple cameras that can serve different functions based on environmental conditions. Each camera can be selected as the responsible camera for capturing images under specific conditions, making the camera system multi-functional and adaptable to various environmental scenarios while maintaining a relatively simple overall structure
2Adaptability or versatility
If a fixed camera is used for image capturing, then the device complexity is low, but the system cannot adapt to different environmental conditions such as strong sunlight or turning motions
Solution Approach 1:
The system dynamically selects which camera to use as the responsible camera based on environmental conditions. Instead of using a fixed camera, the system evaluates environmental factors and adjusts the camera selection in real-time, enabling adaptability to different conditions while keeping the hardware configuration relatively simple
Solution Approach 2:
The system changes the parameter of camera selection based on environmental conditions. By adjusting which camera is active (a discrete parameter change), the system adapts to environmental variations such as strong sunlight or turning motions without requiring complex mechanical adjustments to the cameras themselves
3Measurement precision
If the detection point is fixed, then the system is simple to operate, but the location estimation accuracy decreases under adverse environmental conditions
Solution Approach 1:
The system dynamically selects the detection point based on environmental conditions to improve location estimation accuracy. The detection point is not fixed but is selected from multiple possible locations depending on factors such as strong sunlight or turning motions, thereby maintaining operational simplicity while improving measurement precision
Data Source
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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.