811 resources related to Unmanned Vehicles
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The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
To promote awareness, understanding, advancement and application of ocean engineering and marine technology. This includes all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.
All fields of satellite, airborne and ground remote sensing.
IECON is focusing on industrial and manufacturing theory and applications of electronics, controls, communications, instrumentation and computational intelligence.
The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.
The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...
Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT), 2016
In this article, we research decentralized group (swarm) of unmanned vehicles two-level control, as a set of material points. We provide methods for information exchange in the group and algorithms of distributed control based on imitation of different aggregate states of matter by a group of unmanned vehicles. In the article, we review three swarm “aggregate states”: solid, liquid and ...
2017 36th Chinese Control Conference (CCC), 2017
According to the application requirements of autonomous navigation for unmanned vehicles which mainly used for forest exploration and border patrols, this paper designs a cost effective GNSS/SINS integrated system based on the fiber optic gyro (FOG). After that, the alignment method of SINS and the integrated navigation algorithm are also improved. By fusing the valid data of GNSS/FOG-SINS with Kalman ...
2017 7th International Conference on Computer and Knowledge Engineering (ICCKE), 2017
The most important issue in unmanned vehicles moving is path planning and path following. One of the most influential factors in this field is the capability of path following by these vehicles. Here, the PID traditional control is combined with the fuzzy control algorithm and presented as a response. The Kalman filter has also been used to identify the control ...
OCEANS 2017 - Anchorage, 2017
The development of revolutionary tools such as AUVs and other unmanned vehicles has offered oceanographers a chance to explore areas that are not easily accessible and address questions that have yet to be answered. The ability of unmanned vehicles to reach these under-sampled parts of the ocean is motivating researchers to install, equip, and attach as many sensors as possible ...
2013 13th International Conference on Control, Automation and Systems (ICCAS 2013), 2013
Currently, the designing of automatic control for unmanned vehicles (UV) is one of the most important issues in the solution of problems related to the development of intelligent unmanned vehicles. The ultimate goal and the effectiveness of its implementation are not possible without the use of high- tech automatic control systems (ACS). The paper suggests methods and management models of ...
Robotics History: Narratives and Networks Oral Histories: Larry Matthies
Self-Driving Cars and Beyond: Societal Impacts of Autonomous Transportation Systems - IEEE TechEthics Panel
A Conversation About Autonomous Transportation Systems: IEEE TechEthics Interview
The Social and Personal Impacts of AI: IEEE TechEthics Panel
The R&D History of On-Line Electric Vehicles (OLEV)
State-of-the-art Electrical Machines for Hybrid Electric Vehicles
A Decade of Electric/Hybrid Vehicles Design and Development at UTBM
ITEC 2014: Electrified Powertrain Vehicles: State of the Industry
Maker Faire: DIY Showcase of Vehicles Harnessing Human Power
Fuel Cell Powertrain for Hybrid Electric Vehicles for Postal Delivery
Technology Development for Connected Vehicles
Regenerative Energy Storage Systems for Hybrid Electric and Battery Electric Vehicles
Robotics History: Narratives and Networks Oral Histories: Chuck Thorpe
Alberto Broggi accepts the IEEE Medal for Environmental and Safety Technologies - Honors Ceremony 2017
2019 ICRA Plenary 2- Opportunities and Challenges for Autonomy in Micro Aerial Vehicles
Fog Computing's Impact on Autonomous Vehicles: Q&A with Seval Oz at Fog World Congress
Transportation Electrification: Connected Vehicle Environment
Large UAS Support: Non Terrestrial Networks - Dallas Brooks - B5GS 2019
Keynote: Mario Gerla on Internet of Vehicles - WF-IoT 2015
In this article, we research decentralized group (swarm) of unmanned vehicles two-level control, as a set of material points. We provide methods for information exchange in the group and algorithms of distributed control based on imitation of different aggregate states of matter by a group of unmanned vehicles. In the article, we review three swarm “aggregate states”: solid, liquid and gas, examine issues of sustainability of the system in different variants of the aggregation state simulating algorithms.
According to the application requirements of autonomous navigation for unmanned vehicles which mainly used for forest exploration and border patrols, this paper designs a cost effective GNSS/SINS integrated system based on the fiber optic gyro (FOG). After that, the alignment method of SINS and the integrated navigation algorithm are also improved. By fusing the valid data of GNSS/FOG-SINS with Kalman filter, the error of inertial devices can be corrected and the high-precision inertial navigation results are used to locate by the satellite navigation system. At the end of this paper, the simulation and the vehicle field test are done, from which we can see that the tested accuracy can meet the practical precision requirement of the integrated navigation system when the satellite signal is blocked in the complex terrain environment for one minute.
The most important issue in unmanned vehicles moving is path planning and path following. One of the most influential factors in this field is the capability of path following by these vehicles. Here, the PID traditional control is combined with the fuzzy control algorithm and presented as a response. The Kalman filter has also been used to identify the control path for determining the parameters of the model.
The development of revolutionary tools such as AUVs and other unmanned vehicles has offered oceanographers a chance to explore areas that are not easily accessible and address questions that have yet to be answered. The ability of unmanned vehicles to reach these under-sampled parts of the ocean is motivating researchers to install, equip, and attach as many sensors as possible to obtain measurements and they are installing many different types - physical, chemical, and biological. It is not only the increased accessibility which makes these deployments appealing to scientists, but also unmanned deployments can occur at a fraction of the cost of manned research vessels. However, there are many challenges faced when integrating sensors with unmanned vehicles. Optical sensors such as fluorometers are prone to interferences from ambient light and biofouling organisms. Acoustic instruments draw a lot of power and have to be budgeted for with respect to payload capability and other instruments required or mounted. And some important assays require reagents that cannot be accommodated for given the size constraints of the vehicle and would be difficult to perform without people on board to do them. These types of issues, and others, need to be considered when manufacturing instruments designated for integration with AUVs or unmanned vehicles. However, neither the integrator nor the vendor can take the full burden of resolving the issues faced. Turner Designs is a fluorometer manufacturer that has collaborated quite a bit with different vendors regarding fluorometer integrations with AUVs and other unmanned vehicles. There is increasing interest in characterizing the biology of water, not just the physical as has been done for several years now. With this in mind, fluorometers should be optimized for easy, simple integration into multiple platforms and as fluorometer vendors for over 45 years, we have the expertise to manufacture such instrumentation; guidance is what is currently lacking. Over the past few years, however, our collaborations with multiple agencies resulted in successful deployments.
Currently, the designing of automatic control for unmanned vehicles (UV) is one of the most important issues in the solution of problems related to the development of intelligent unmanned vehicles. The ultimate goal and the effectiveness of its implementation are not possible without the use of high- tech automatic control systems (ACS). The paper suggests methods and management models of collaboration of UVs. The proposed model of group of UA to support business processes (list of certain types of work) in a given space, aiming to achieve the global goal or business process. The article considers the problem of controlling a group of UV to perform various tasks. To build such kind of control we applied multiagent approach. The article provides the formulation of group work management of UV, the model and solution algorithm.
The cooperative network and its style of cooperative localization in the Leader-Follower structure are researched, the algorithm of cooperative localization of multiple Unmanned Vehicles (take Unmanned Underwear Vehicles for example) based on Extended Kalman Filter is provided. Usually, the leader- UUV was equipped with navigation system of high-precision, and the follower- UUVs are equipped with navigation system of low precision, on the premise of leader-UUV and follower-UUVs equipped with an acoustic communication device, follower-UUVs can realize information sharing and self-positioning by using relative observation information and information interaction. The results show that the presented approach could help follower-UUVs determine their position in unknown environment.
This paper describes the vision-based control of a small autonomous aircraft following a road. The computer vision system detects natural features of the scene and tracks the roadway in order to determine relative yaw and lateral displacement between the aircraft and the road. Using only the vision measurements and onboard inertial sensors, a control strategy stabilizes the aircraft and follows the road. The road detection and aircraft control strategies have been verified by hardware in the loop (HIL) simulations over long stretches (several kilometers) of straight roads and in conditions of up to 5 m/s of prevailing wind. Hardware experiments have also been conducted using a modified radio-controlled aircraft. Successful road following was demonstrated over an airfield runway under variable lighting and wind conditions. The development of vision-based control strategies for unmanned aerial vehicles (UAVs), such as the ones presented here, enables complex autonomous missions in environments where typical navigation sensor like GPS are unavailable.
The Department of Defense's future vision for Network Centric Operations (NCO) will increase combat power by networking relevant entities across the battlefield. This will result in highly complex mission scenarios in which the operator's workload will be easily overloaded if the system is not designed to support the mission requirements. New technologies for these complex command and control environments are currently being developed. Evaluating the adequacy of a particular technology for specific mission requirements is critical for military decision makers. This paper will introduce a new approach to model operator and system performance.
This paper describes the Research and Engineering Center for Unmanned Vehicles Heterogeneous Unmanned Aircraft System. The unmanned aircraft system is comprised of a fleet of small and miniature unmanned aircraft connected through a multi-tiered, net-centric command and control architecture. Components of the unmanned aircraft system are described, including different airframes, autopilots, ground control stations, payload sensors, and networking middleware. Emphasis is placed on the design of the system for in situ atmospheric sampling and communication applications.
This article examines the method of development of directed antennas for RFID technology in agricultural applications. The use of directional antennas is explained by the growing popularity of using unmanned vehicles in agriculture and with the possibility of implementing high-precision navigation of unmanned vehicles on the field without using satellite navigation. The article also covers the brief concept of use RFID technology for navigation of unmanned vehicles in agricultural applications. The article covers the modeling and physical engineering approach to make compact and robust directed antennas applicable for both identificational and navigational purposes. The conclusion is that directed antennas can be used for RFID-based precise navigation with a location accuracy of less than 1 meter.
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