Indoor simultaneous locating and environment modeling method for unmanned aerial vehicle

Abstract

The invention discloses an indoor simultaneous locating and environment modeling method for an unmanned aerial vehicle. According to the method, flying tracks of the unmanned aerial vehicle can be located, and an indoor three-dimensional environmental model can be drawn fast. An operation platform and an operation method of the unmanned aerial vehicle are constructed, an RGB-D sensor carried by the unmanned aerial vehicle is utilized for collecting data, a visual odometry is adopted for estimating the indoor flying tracks and positions of the unmanned aerial vehicle, and an extended kalman filtering algorithm is adopted for obtaining the more accurate flying tracks and the positions of the aerial vehicle. Furthermore, the data transmission functions of the unmanned aerial vehicle and a ground communication device are utilized for feeding information collected by the sensor on the aerial vehicle back to ground operating personnel in real time, and a three-dimensional data display method of a computer is utilized for calculating and processing the collected data and carrying out indoor three-dimensional environment modeling and displaying.

Description

technical field [0001] The invention belongs to the field of artificial intelligence and computer vision, and in particular relates to indoor positioning of a robot and a three-dimensional environment modeling method. Background technique [0002] With the continuous development of intelligent robot research, it has gradually become possible to use robots instead of humans to explore and model the environment. The key issues that need to be addressed are indoor localization and environment modeling methods for robots. [0003] At present, most of the robot platforms studied and experimented by researchers are ground robots, such as smart cars, humanoid robots and other functional robots. These researches have achieved certain results, covering many fields such as artificial intelligence and image recognition. However, for some specific environments, it is difficult to complete the task of exploring the environment only by ground robots. The environment in which the robot l...

AI Technical Summary

Problems solved by technology

[0007] 1) Limited load: As an aircraft, it needs to provide uninterrupted lift to maintain its own balance, so the load is limited, and it is difficult to carry a variety of heavy sensors like ground robots

The acquisition of external environmental information is bound to have certain limitations.

[0008] 2) Limited computing power: The limited load determines that the unmanned aerial vehicle intelligently carries a lightweight embedded computer system, and the SLAM algorithm and online search strategy based on the unmanned aerial vehicle have high time complexity, while ensuring real-time The computing power of unmanned aerial vehicles is limited, so special optimization or redesign of related algorithms is necessary

[0009] 3) Action changes quickly: UAVs move very fast, and any delay may be amplified by this characteristic, resulting in greater errors. Therefore, each module of the system must ensure a certain degree of real-time performance

[0010] 4) Frequent vibrations: Unmanned aer

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