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Vehicle Mobility-Based Geographical Migration of Fog Resource for Satellite-Enabled Smart Cities
Global Communications Conference, 2018The diverse applications and high-quality services in satellite-enabled smart cities have led to geographical unbalance of computation requirements. Traditional centralized cloud services and massive migration of computing tasks result in the increase of
Siyi Liao +5 more
semanticscholar +1 more source
Applying Deep Recurrent Neural Network to Predict Vehicle Mobility
IEEE Vehicular Networking Conference, 2018Sensing data gathering and dissemination is one of the most challenging tasks in smart city construction, and vehicles moving around a city have been widely considered as a good candidate to deliver data efficiently and economically.
Wei Liu, Y. Shoji
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An energy‐efficient localization algorithm for mobile vehicles in vehicle to vehicle network
Concurrency and Computation: Practice and Experience, 2011SUMMARYTraditional vehicle localization is based on global positioning system. However, the global positioning system is limited in shadowed environments such as underground carports, tunnels, and urban zones. This paper describes a vehicle positioning solution in an urban environment with the aid of vehicle to vehicle (V2V) networking, which utilizes ...
Lingwen Zhang, Gang Yang
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EVs Are Not the Answer: A Mobility Justice Critique of Electric Vehicle Transitions
Annals of the American Association of Geographers, 2020Within climate–energy–transport scholarship and professions there is a growing consensus that electric vehicles (EVs), which include personal cars, sport utility vehicles (SUVs), vans, and pickup trucks, are essential for decarbonizing mobility.
Jason Henderson
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Quantized control with applications to mobile vehicles
Proceedings of the 41st IEEE Conference on Decision and Control, 2002., 2003We develop a theory of stabilizing single-input nonlinear affine systems using quantized feedback. We construct a stabilizing quantizer based on a control Lyapunov function (CLF), and a robustly stabilizing quantizer based on a robust control Lyapunov function (RCLF). We characterize the coarsest quantizer under certain conditions. The special features
Jialing Liu, Nicola Elia
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Drivocopter: A concept Hybrid Aerial/Ground vehicle for long-endurance mobility
IEEE Aerospace Conference, 2020Aerial robots show promise for increased capabilities in exploring unstructured and challenging environments. However, they are limited by payload capacity, flight times, and susceptibility to damage in case of collision. On the other hand, ground robots
Arash Kalantari +6 more
semanticscholar +1 more source
Bluetooth communication reliability of mobile vehicles
Proceedings of 2011 International Conference on Fluid Power and Mechatronics, 2011Bluetooth technology is a short-ranged wireless communication technology which is open, low-cost and a good replacement of the cable. It is now more and more wildly used in computer and its accessories, mobile phones. With Bluetooth sensors development, this kind of communication is implied as wireless data acquisition of control systems, whether the ...
Zheng, Tian +2 more
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Navigation applications of vehicles mobility
2010Satellite navigation technologies are the major technological enabler for improving safety and efficiency of vehicles mobility in urban and suburban areas. The potential to reduce the cost and the air pollution caused by traffic jams, to decrease the trip duration, to better exploit the existing road infrastructures, to provide faster and automated ...
M. Leonardi +6 more
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Vehicle Design and Optimization Model for Urban Air Mobility
, 2020Urban air mobility refers to an envisaged air taxi service, using small, autonomous, vertical-takeoff-and-landing, battery-powered electric aircraft.
Arthur Brown, W. Harris
semanticscholar +1 more source
2011
This chapter discusses how a robot platform moves, that is, how its pose changes with time as a function of its control inputs. There are many different types of robot platform as shown on pages 95–97 but in this chapter we will consider only four important exemplars.
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This chapter discusses how a robot platform moves, that is, how its pose changes with time as a function of its control inputs. There are many different types of robot platform as shown on pages 95–97 but in this chapter we will consider only four important exemplars.
openaire +1 more source