Adaptive Robot Navigation Under Changing Lighting Conditions
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Solution Overview
Problem
Vision-based guidance systems for robotic devices face challenges in navigation due to lighting variations, as changes in lighting can confuse localization algorithms and degrade image quality, leading to errors in pose estimation and device control.
Innovation Solution
A system that maps and associates visual features with light sources, allowing for dynamic adjustments in camera settings and lighting conditions to optimize navigation, using onboard sensors and smart devices to improve image quality and object localization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If standard auto-exposure techniques are used to maintain acceptable image quality in changing light, then image quality is improved, but visual features used by odometry and localization algorithms change or disappear resulting in errors in pose estimation
Solution Approach 1:
The system performs preliminary mapping of light sources and their effects on visual features during an initial survey of the environment. This pre-characterization allows the robot to predict how lighting changes will affect feature appearance and to pre-plan exposure adjustments that maintain feature consistency, rather than reacting to lighting changes in real-time
Solution Approach 2:
The system continuously monitors both image quality metrics and feature detection quality, using this feedback to dynamically adjust exposure settings. By incorporating feature detection feedback into the exposure control loop, the system can maintain pose estimation accuracy while adapting to lighting changes
2Illumination intensity
If rapid changes to auto-exposure settings are made to respond to changing light, then image quality is maintained, but visual features change or disappear causing errors in pose estimation
Solution Approach 1:
The system pre-maps the environment to identify light sources, surfaces, and visual features before navigation begins. This preliminary characterization enables the system to predict lighting changes along the navigation path and plan exposure adjustments in advance, avoiding rapid, disruptive changes during active navigation
Solution Approach 2:
The system implements dynamic exposure control that adapts to lighting conditions while maintaining feature consistency. By using the pre-mapped environmental data, the system can smoothly transition exposure settings in response to predicted lighting changes, maintaining both image quality and feature detectability throughout navigation
3Measurement precision
If the system maps and associates visual features with light sources to enable dynamic adjustments, then navigation accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the environment map into distinct light source regions, surface regions, and visual feature regions. This segmentation allows the system to independently characterize and process information about each element, making the overall mapping task more manageable and the data more useful for predicting lighting effects on features
Solution Approach 2:
The environmental map serves multiple functions: it provides navigation path planning, characterizes lighting conditions, identifies visual features, and predicts how lighting changes will affect feature appearance. By making the map multi-functional, the system avoids creating separate systems for each function, thereby managing complexity while achieving multiple goals
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for lighting adaptive navigation. In some implementations, map data associated with a property is received. Sensor data is obtained. Based on the map data and the sensor data, a lighting scenario is determined. Based on the lighting scenario, a modification to at least one of the lighting scenario, to a planned navigation path for the robotic device, to settings for a sensor of the robotic device, to a position for a sensor of the robotic device, or to a position of the robotic device is determined. An action is performed by based on the one or more modifications.