Line laser module and autonomous mobile device
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Solution Overview
Problem
Existing autonomous mobile devices, such as cleaning robots, face challenges in accurately identifying and avoiding obstacles due to low accuracy in obstacle detection during their cleaning operations.
Innovation Solution
A line laser module is integrated into the autonomous mobile device, comprising a first image capturing assembly with an infrared camera and laser emitter for obstacle distance information and a second image capturing assembly with an RGB camera for obstacle type identification, using feature extraction and machine learning models to enhance obstacle detection and avoidance capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single camera system is used for obstacle detection, then the device structure is simple, but the obstacle detection accuracy is low
Solution Approach 1:
The obstacle detection system is segmented into two specialized subsystems: a first image capturing assembly with infrared camera and laser emitter for distance measurement, and a second image capturing assembly with RGB camera for obstacle type identification. This segmentation allows each subsystem to optimize for its specific function, thereby improving overall detection accuracy while maintaining manageable system complexity through modular architecture.
2Measurement precision
If multiple image capturing assemblies are added, then obstacle detection accuracy is improved, but the device complexity increases
Solution Approach 1:
The module body serves as a universal platform that integrates multiple image capturing assemblies, laser emitters, and processing modules. This multi-functional design allows a single modular unit to perform both distance measurement (via infrared camera and laser emitter) and obstacle type identification (via RGB camera), improving detection accuracy without proportionally increasing overall system complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The line laser module significantly improves obstacle detection accuracy by providing precise distance and type information, enabling the autonomous mobile device to perform effective obstacle avoidance and maintain its cleaning route, reducing the risk of collisions and improving overall cleaning efficiency.
Implementation Method 1
at least one laser emitter provided adjacent to the first camera and configured to emit a line laser with a linear projection toward outside of the module body
Implementation Method 2
The first image processing module acquires the obstacle distance information based on a triangulation
Implementation Method 3
the laser emitter is configured to emit infrared light, the first camera is an infrared camera
Implementation Method 4
the second camera is an RGB camera... perform a feature extraction on the second environment image to obtain feature information
Data Source
AI summary
A line laser module, including: a module body; a first image capturing assembly, provided at the module body and comprising a first camera, at least one laser emitter and a first image processing module, wherein the at least one laser emitter is provided adjacent to the first camera and configured to emit a line laser with a linear projection toward outside of the module body, the first camera is configured to capture a first environment image containing the line laser, and the first image processing module is configured to acquire obstacle distance information based on the first environment image; and a second image capturing assembly, comprising a second camera and a second image processing module, wherein the second camera is configured to capture a second environment image, and the second image processing module is configured to acquire obstacle type information based on the second environment image.