基于立體視覺(jué)的無(wú)人機(jī)感知與規(guī)避研究
[Abstract]:Unmanned aerial vehicle (Unmanned Aerial Vehicle,UAV) is a research hotspot at home and abroad. With the wide use of UAV, the autonomous safety flight of UAV is required. The ability of UAV to perceive and evade (Sense and Avoid,SAA is the prerequisite to ensure the UAV to fly into airspace and to ensure the UAV flight safety. Because of the limitation of load, task, cost and so on, the light and small UAV system can not carry large sensing equipment such as radar, lidar and so on. The SAA system based on vision sensor has high quality and power consumption. Cost advantages make it easier to integrate and apply in light and small systems. In this paper, the visual perception and avoidance of light and small UAV are studied. Considering that monocular vision can only obtain two-dimensional planar motion information of the target, this paper uses stereo vision based perception and circumvention technology to realize target accurate perception, reliable threat assessment and obstacle avoidance. It overcomes the disadvantage that monocular vision is difficult to obtain depth information of target. The main work of this paper is as follows: 1. This paper analyzes SAA. from the aspects of system scheme, policy standard, technology research and so on. The development history of SAA technology and the history of SAA technology research are systematically analyzed. The significance of UAV SAA and the research of UAV SAA technology are analyzed. The SAA of UAV is decomposed by hierarchical decomposition and technical decomposition, and the SAA method of UAV is analyzed. According to the 100-year history of SAA technology and the research status of UAV SAA, this paper puts forward the next development of SAA technology and analyzes the key technology of SAA in the future. 2. Based on the application characteristics and capability attributes of light and small UAV, a set of low cost, low power sensing and evading system is analyzed and built. Aiming at the small UAV system with small load and low flight speed, the hardware system is designed from the aspects of environmental data perception, airborne data processing, obstacle avoidance control, etc. Modeling and calibration of stereo vision perception system. 3. In view of the complex and changeable environment of low altitude UAV, a multi-mode UAV perception and avoidance algorithm is designed. According to the different flight environment of UAV, the UAV has different encounter environment in different airspace environment. In low altitude environment, by reconstruction of 3D environment, UV parallax method is used to detect obstacles. In high altitude environment, the background is relatively simple, and the obstacles in airspace are mostly moving, small and few feature points. Background segmentation and small and weak target detection algorithms are used to detect obstacles and the distance of obstacles is measured by triangulation. The method of security envelope is used to evaluate the threat of moving target, and according to the result of threat assessment, the method of avoidance point is used to circumvent the obstacle. The experimental results show that the UAV perception and avoidance system based on stereo vision can avoid obstacles in different airspace environment and ensure the flight safety of UAV.
【學(xué)位授予單位】:西北工業(yè)大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2016
【分類號(hào)】:V279
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