نتایج جستجو برای: inertial navigation
تعداد نتایج: 68629 فیلتر نتایج به سال:
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Teams of humans and robots working together can provide effective solutions to problems. In such applications, effective human-robot teaming relies on being able to communicate information about the current perception or understanding of the environment. In this paper, human-robot teaming on navigational tasks is discussed. The role of the human user will be to specify the goal point(s) for the...
In this paper a biologically inspired approach for compensating the limited angle of vision in obstacle detection systems of mobile robots is presented. Most of the time it is not feasible to exhaustively monitor the environment of a mobile robot. In order to nonetheless achieve safe navigation obstacle detection mechanisms need to keep in mind certain aspects of the environment. In mammals thi...
In some circumstances the erosive effects of inertial (transient) cavitation have been usefully employed in the acceleration of chemical processes that are dependent on surface reactions. However, in other situations the erosion of materials can be detrimental. For example erosion/corrosion phenomena have been well documented. It will be demonstrated here that the employment of inertial cavitat...
This paper examines a current research project studying limited domain vehicle tracking using inertial measurements, specifically from accelerometers. Key-Words: Position, Tracking, Localization, Accelerometers, Vehicle
Parameters Online Estimation Lubin Chang Department of Navigation Engineering, Naval University of Engineering, Wuhan, China [email protected] Abstract—In this note, the attitude and inertial sensors drift biases estimation for Strapdown inertial navigation system is investigated. A semi-analytic method is proposed, which contains two interlaced solution procedures. Specifically, the attitude ...
This paper presents a monocular vision framework enabling feature-oriented appearance-based navigation in large outdoor environments containing other moving objects. The framework is based on a hybrid topological-geometrical environment representation, constructed from a learning sequence acquired during a robot motion under human control. The framework achieves the desired navigation functiona...
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