Single-Camera Mobile Robot 3D Mapping Using Particle Re-Projection
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Solution Overview
Problem
Conventional mobile robots rely on 1-dimensional or 2-dimensional sensors to recognize surroundings, which limits their ability to accurately detect and navigate through complex environments, failing to effectively utilize 3D information for autonomous cleaning.
Innovation Solution
A mobile robot equipped with a single camera that re-projects particles from one image frame to another based on matching feature points, allowing for the precise extraction of 3D information by generating particles on a virtual line passing through feature points and the camera's center, enabling the creation of a 3D map of its surroundings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single camera is used for 3D recognition, then device complexity is reduced, but measurement precision of 3D information deteriorates
Solution Approach 1:
The patent transitions from 2D image plane coordinates to 3D spatial coordinates by introducing depth information through particle re-projection. Particles are generated on a virtual line extending from the camera center through feature points, and their positions are refined by projecting onto subsequent image frames, effectively adding the depth dimension using only a single camera.
Solution Approach 2:
The patent introduces particles as intermediary elements between the camera and the feature points. These particles serve as virtual probes that are re-projected across multiple frames to infer depth information, acting as a mediator that enables 3D reconstruction without requiring multiple cameras or complex sensor arrays.
2Device complexity
If conventional 2D sensors are used for environment recognition, then device complexity is low, but the ability to detect and navigate complex environments deteriorates
Solution Approach 1:
The patent enhances environmental recognition capability by extracting 3D spatial information from 2D image sequences. By re-projecting particles onto subsequent frames and calculating depth based on feature point matching, the system gains three-dimensional awareness while maintaining the simplicity of a single camera setup.
Solution Approach 2:
The patent replaces complex multi-sensor mechanical systems with a computational approach using a single camera. Instead of using multiple cameras or depth sensors, the system uses image processing algorithms and particle re-projection techniques to achieve 3D environmental understanding, substituting mechanical complexity with computational intelligence.
Data Source
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AI summary
Disclosed are a mobile robot with a single camera capable of performing a cleaning process with respect to surroundings, and capable of more precisely making a 3D map of the surroundings including a plurality of feature points, and a method for recognizing 3D surroundings of the same. According to the method, images of the surroundings are captured, and a preset number of particles with respect to feature points of a first image are projected to a second image based on matching information of feature points extracted from the two images sequentially captured, thereby extracting 3D information of the surroundings.