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Systems Engineering and Architecting for Intelligent Autonomous
Systems Engineering and Architecting for Intelligent Autonomous

... concepts in each area, and how they all come together for autonomous driving. Within each area, references to more detailed topics are also provided. This simultaneous consideration of three, typically disparate topics, is one of the innovative aspects of this book chapter. Very often in research, t ...
Real-time decision problems: An operational research perspective
Real-time decision problems: An operational research perspective

... This higher level calls for a mandatoryrevision of the initial plan whenever the current state of the world departs significantly from its predicted state, hence making the initial plan less effective or even inapplicable. Actions that are planned but have not been implementedyet must be revised. Th ...
artificial intelligence applications especially the neural networks use
artificial intelligence applications especially the neural networks use

... 5.2. Driver behaviour modelling Sometimes using GPS or other navigation doesn’t have to be the best solution. Driver has to decide about by-pass road or using highroad etc. There are models allowing designing such transport systems which consider safety and effectiveness of human mobility. Feed forw ...
Optimizing Limousine Service with AI
Optimizing Limousine Service with AI

... the trips and clustering them into smaller sets that can be scheduled using a branch-and-cut algorithm. Bus vehicle and driver scheduling is also related to our work (Huisman and Wagelmans 2006, Ismail and Ang 2005). However, the bus problem is mainly driven by a rigid timetable and fixed ...
FUJITSU LABORATORIES Corporate Profile
FUJITSU LABORATORIES Corporate Profile

... it is necessary to simplify their management and process them in high speed. In “ICT infrastructure technology”, we are promoting the R&D to enhance the performance by implementing application specific architecture instead of the conventional general-purpose computers which depend on semiconductor’ ...
Intelligent Transportation
Intelligent Transportation

...  On Aug 21, 2014, the IEEE-SA Standards Board established a new committee -- IEEE SCC42 Transportation (IEEE Standards Coordinating Committee on Transportation). Being supported by over 30 IEEE Societies and Councils, IEEE SCC42 Transportation leads the coordination of IEEE standardization activiti ...
Turing`s Red Flag - Computer Science and Engineering
Turing`s Red Flag - Computer Science and Engineering

... with a red flag to signal the oncoming danger. Of course, public safety wasn’t the only motivation for this law as the railways profited from restricting motor vehicles in this way. Indeed, the law clearly restricted the use of motor vehicles to a greater extent than safety alone required. And this ...
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KC3617441749

AAAI`s National and Innovative Applications Conferences Celebrate
AAAI`s National and Innovative Applications Conferences Celebrate

... This award winning application uses machine learning techniques as the foundation of ranker for open-auto maintenance scheduling (ROAMS) to identify weak links in the almost one thousand 13.8kV-27kV energy distribution feeder cables that supply electricity to the boroughs of New York City. In Manhat ...
Brainstem3_2009
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... See p. 369 ...
CN V - Trigeminal
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... Lateral Vestibulospinal Tract Medial Vestibulospinal Tract ...
Artificial Intelligence Application Especially the Neural Networks
Artificial Intelligence Application Especially the Neural Networks

... networks in road transport and explains NN using in these solutions. 5.1. Driving of unmanned vehicles or computer controlled cars and how will be used the Automatic transport systems. 5.2. Modelling of driver conduct while driving the car – how are used NN in these models. 5.3. Creating models for ...
Intelligent Manufacturing
Intelligent Manufacturing

... in the Robotic Industry • Artificial Intelligence for abnormal situations – Extra sensors, adding more knowledge to the system, helps the robots to perform even in the event of accidents or other abnormal situations ...
File - FCI-ZU
File - FCI-ZU

... • We're still learning about perceiving, planning and learning • It is hard to compare methods/paradigms ...
Decision Support Systems for Supply Chain Management
Decision Support Systems for Supply Chain Management

... Mapping and thematic mapping Database management Interactive data query Spatial data retrieval Geographic data manipulation Spatial data analysis Geocoding: translate addresses into geographic coordinates Geographic data import/export ...
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Attachment

... Chronocam Selected to the 2017 AI 100, Highlighting Advancements in Applying Biologically-inspired Technology to Machine Vision Santa Barbara, CA, January 12, 2017 -- CB Insights today selected Chronocam to the prestigious Artificial Intelligence 100 list (“AI 100”), a select group of emerging priva ...
artificial intelligence and life in 2030
artificial intelligence and life in 2030

... personal rapid transit, already available in four cities, which uses small capacity vehicles to transport people on demand and point-to-point between many stations. ...
roadmapping a us-german agenda for artificial intelligence policy
roadmapping a us-german agenda for artificial intelligence policy

... Existing regulatory frameworks were not designed to deal with the advent of AI. For instance, decisions made by AI systems are difficult to trace back to individuals, making responsibility for the outcomes unclear. AI’s technical complexity also makes it imperative that regulatory institutions have ...
urban traffic data mining and neural network models
urban traffic data mining and neural network models

... control and monitoring by Autonomous Agents have created very large databases of realtime and historic traffic data. Therefore, data mining approaches are necessary to design effective Decision Support Systems for traffic management and user information generation. In particular, the completion of u ...
How Bodies Matter to Minds - Action
How Bodies Matter to Minds - Action

... abstract qualities from the environment, which are recovered by internal representation. ...
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... e proliferation of health-related information presents unprecedented opportunities to improve patient care. However, medical experts are currently overwhelmed by information, and existing artificial intelligence (AI) technologies are oen inadequate for the challenges associated with analyzing clin ...
1

Vehicle infrastructure integration

Vehicle Infrastructure Integration (VII) is an initiative fostering research and applications development for a series of technologies directly linking road vehicles to their physical surroundings, first and foremost in order to improve road safety. The technology draws on several disciplines, including transport engineering, electrical engineering, automotive engineering, and computer science. VII specifically covers road transport although similar technologies are in place or under development for other modes of transport. Planes, for example, use ground-based beacons for automated guidance, allowing the autopilot to fly the plane without human intervention. In highway engineering, improving the safety of a roadway can enhance overall efficiency. VII targets improvements in both safety and efficiency.Vehicle infrastructure integration is that branch of engineering, which deals with the study and application of a series of techniques directly linking road vehicles to their physical surroundings in order to improve road safety.
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