Unmanned Vehicle Lighting Maps for Navigation and Object Detection
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Solution Overview
Problem
Existing unmanned vehicles, such as cleaning robots, face challenges in adjusting lighting conditions within their environment without user input, which can affect the accuracy of navigation and object detection systems.
Innovation Solution
The vehicle generates an area map that includes information about external illuminating devices, such as light intensity, emission spectrum, and position, allowing it to automatically select and control these devices to optimize lighting conditions for its operations, using a controller that can transmit commands wirelessly to external illuminating devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the vehicle uses an integrated lamp to improve lighting status, then the lighting control can be simplified, but the adaptability to external illuminating devices is reduced
Solution Approach 1:
The controller is designed to handle both integrated and external illuminating devices through a unified control interface. The controller receives control commands and determines whether to activate the integrated lamp or external illuminating devices based on the same lighting status detection mechanism, making the system universally applicable to multiple lighting scenarios without requiring separate control systems
2Extent of automation
If the vehicle autonomously controls external illuminating devices, then user intervention is eliminated, but the system complexity increases
Solution Approach 1:
The vehicle performs self-service by autonomously detecting lighting status through its detection system and automatically generating appropriate control commands for illuminating devices without requiring user intervention. The controller continuously monitors lighting conditions and independently decides when to activate or adjust external illuminating devices based on pre-stored area map information and current environmental conditions
Solution Approach 2:
The area map is pre-generated and stored during a mapping phase, containing information about external illuminating devices such as their positions, activation conditions, and control parameters. This preliminary preparation allows the controller to quickly retrieve and execute appropriate control commands during operation without real-time complex decision-making, reducing operational system complexity
3Measurement precision
If the vehicle stores detailed information about external illuminating devices in the area map, then lighting control precision is improved, but the information processing load increases
Solution Approach 1:
The area map stores detailed illuminating device information such as position coordinates, activation thresholds, and control parameters specifically at the relevant spatial locations where these devices are situated. Rather than uniformly distributing information throughout the entire map, the system concentrates detailed data only where needed for lighting control decisions, optimizing information storage efficiency while maintaining precision where required
Data Source
AI summary
An unmanned vehicle that moves automatically within an environment, in particular a cleaning robot, with a detection system for detecting object data in an environment of the vehicle and a calculating device for generating an area map based on recorded object data. The area map has information about a position of an external illuminating device designed separately from the vehicle, as well as one or several items of information about the illuminating device, such as light intensity, emission spectrum, position and/or size of a partial area of an environment that can be illuminated by the illuminating device, and type of illuminating device.