Mobile Robot Image Acquisition Device Overexposure Control
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Solution Overview
Problem
Mobile robots face navigation and pose determination issues due to lighting problems, such as overly bright light, which prevents them from acquiring sufficient visual features for localization using visual sensors.
Innovation Solution
A control system for mobile robots that includes an image acquisition device and a processing device to analyze captured images, adjust the framing surface of the image acquisition device, and navigate the robot to avoid overexposure regions by deflecting the image acquisition device, modifying the navigation route, or adjusting the amount of incoming light.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the mobile robot uses visual sensors to acquire visual information for navigation and localization, then the navigation capability is improved, but the robot cannot obtain sufficient features for localization when lighting is overly bright (overexposure)
Solution Approach 1:
The patent makes the image acquisition device movable by mounting it on a rotating module that can change its orientation independently of the robot body. This dynamic adjustment allows the device to rotate away from overexposed regions and capture images from alternative angles, resolving the contradiction between maintaining visual navigation capability and avoiding overexposure damage to image quality
Solution Approach 2:
The patent introduces an intermediary control system that detects overexposure conditions and mediates between the robot's navigation needs and the image acquisition device's operational constraints. The control system rotates the image acquisition device to a new orientation that avoids direct exposure to bright light sources while maintaining the ability to capture navigation-relevant visual features
2Measurement precision
If the robot rotates the image acquisition device to avoid overexposure, then the image quality is improved, but the navigation route may be affected
Solution Approach 1:
The patent implements a feedback mechanism where the control system continuously monitors image quality metrics (such as histogram distribution) to detect overexposure conditions. When overexposure is detected, the system rotates the image acquisition device and continues to monitor image quality, creating a closed-loop feedback system that ensures navigation information is preserved while maintaining image quality
Solution Approach 2:
The patent changes the orientation parameter of the image acquisition device as a response to overexposure detection. By adjusting the rotational angle parameter, the system finds an optimal orientation that avoids overexposure while maintaining sufficient visual information for navigation, effectively using parameter change to resolve the contradiction between image quality and navigation information
Data Source
AI summary
The present application provides a control method, and system, and a mobile robot using the same. The control method comprises the following steps: under a navigation operating environment of the mobile robot, controlling the image acquisition device to capture images in real time; analyzing at least one captured image; and controlling the movement of the mobile robot after analyzed that the image acquisition device faces an overexposure region. In the present application, the problem that the robot cannot determine the navigation and pose thereof based on the acquired images due to lighting problems is solved.