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3D Environment Modeling and Autonomous Motion Planning for Mobile Robot
Author: ChenHang
Tutor: WangWei
School: Dalian University of Technology
Course: Control Theory and Control Engineering
Keywords: Unstructured environments 3D Laser Ranging 3D Environment Modeling Terrain Evaluation Autonomous motion planning
CLC: TP242
Type: Master's thesis
Year: 2009
Downloads: 213
Quote: 1
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Abstract
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The effective recognition of the mobile robot autonomous navigation and environmental exploration, and the perception of environmental information and build environment models to ensure safe and reasonable mobile robot motion planning. Motion planning of environmental modeling and remodeling, and on this basis, the three-dimensional unstructured scene compared with structured scenes, there are the ruins of the complex terrain and dynamic obstacles complex environmental information put forward higher requirements. The focus of this research for modeling of three-dimensional unstructured environment with autonomous motion planning, through these two aspects of the research aimed to establish a set of real-time modeling for 3D unstructured environment and remodeling, and as a basis for real-time planning and decision-making functions of the mobile robot intelligent control system. Laser point cloud data acquired by 3D ranging system, a variety of ways to achieve a three-dimensional scene modeling, including linear feature extraction, flat-screen feature extraction and building elevation model-based three-dimensional map. In the plane feature extraction, using two different methods for different applications, the plane split. Regional expansion for plane segmentation algorithm, using the normal vector to generate plane correction, effectively overcome the regional expansion of smooth gradient problem. Build a model of the environment on the basis of two autonomous motion planning method: autonomous motion planning method based on geometry - elevation models and terrain assessment based independent motion planning method. Former use of an integrated elevation model and plane model geometry - elevation model to describe the the unstructured scene and build a three-dimensional random road map, after using Dijkstra algorithm search a to meet security shortest path. This approach overcomes the elevation model plane feature model respective environmental information is incomplete shortcomings, and enhance the environmental effectiveness of the model and path planning rationality. Latter horizontal grid discretization of the whole scene, and to assess the terrain between raster and grid point cloud height distribution, according to the robot through the whole scene is subdivided into multiple feasible region. The basis for the assessment of the scene, a autonomous motion planning methods and adapt to different levels of planning to meet a variety of constraints, and enhance the adaptability and robustness of robot motion planning. The experimental results demonstrate the effectiveness and practicality of the two methods.
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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Robotics > Robot
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