3 D MODELING OF FOUR-AXLE MACHINE MANEUVERING
نویسندگان
چکیده
One of the ways to increase maneuverability wheeled vehicles National Guard Ukraine is use a four-axle chassis with two turntables, which will allow machine turn smallest radius, move crab, sideways and around its own vertical axis. The creation such associated large amount various experiments tests finished sample. development computer technology technologies has led software applications for (simulation) modeling, research study properties technical objects systems under different conditions. article developed digital model turntables identified features. For powerful package solid modeling Autodesk Inventor was chosen, provides comprehensive flexible set tools 3D design, visualization, instrumentation, analysis calculations. When building general chassis, main features layout parts assemblies this vehicle were taken into account. forced rotation wheels platforms modeled by entering value single parameter or setting using graph. Depending on needs experiment, graphs displacements, speed acceleration. In course visual simulation maneuvering carried out three options: turning in opposite direction; changing direction movement through difficult maneuver; movement. virtual studies showed that control front, rear both promising way vehicles. addition, created prototype allows you determine characteristics future product, carry analysis, upgrade necessary modification, desired trajectory movement, including when passing obstacles.
منابع مشابه
British Machine Vision Conference a Comparison of Four Algorithms for Estimating 3-d Rigid Transformations 1
A common need in machine vision is to compute the 3-D rigid transformation that exists between two sets of points for which corresponding pairs have been determined. In this paper a comparative analysis of four popular and eecient algorithms is given. Each computes the trans-lational and rotational components of the transform in closed-form as the solution to a least squares formulation of the ...
متن کاملUnsupervised Learning for Incremental 3-D Modeling
Learning based incremental 3D modeling of traffic vehicles from uncalibrated video data stream has enormous application potential in traffic monitoring and intelligent transportation systems. In this paper, video data from a traffic surveillance camera is used to incrementally develop the 3D model of vehicles using a clustering based unsupervised learning. Geometrical relations based on 3D gene...
متن کاملFace Modeling and Recognition in 3-D
We demonstrate a complete and automatic system to perform face authentication by analysis of 3-D facial shape. In this live demonstration of the system, the subject is first enrolled, and given a unique identifier. Subsequently, the user’s identity is verified by providing the reference identifier. Our approach is to be contrasted with traditional face recognition methods, which compare picture...
متن کامل3-D Reservoir Modeling: Hydrocarbons and Aquifers
From the moment we are born, we begin taking in data through our senses: smell, taste, touch, sound, and, perhaps the most important of all senses, sight. Our visual input is a color, 4-D animation of the world around us. The physical tools we are given at birth dictate the way we learn, analyze, and interpret external input. Computer animation has evolved to the point where we can visualize, a...
متن کامل3-d crustal density modeling, case study: iran
various sources of geodetic, geological and geophysical information can improve our understanding about the crustal density. in this paper we propose a methodology for determination of crustal density based on terrestrial gravity observations, geopotential models, digital terrain models (dtm), geological maps and cross-sections, deep geophysical profiles, and geoid models. the method can be alg...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Zbìrnik naukovih prac? Nacìonal?noï akademìï Nacìonal?noï gvardìï Ukraïni
سال: 2023
ISSN: ['2409-7470']
DOI: https://doi.org/10.33405/2409-7470/2023/1/41/280889