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41Special List 303: Navigation

Special List 303: Navigation

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Source URL: www.ilab.org

Language: English - Date: 2018-06-04 14:58:26
    42Autonomous Vehicle Navigation in Rural Environments without Detailed Prior Maps Teddy Ort1 , Liam Paull1,2 , Daniela Rus1 Abstract— State-of-the-art autonomous driving systems rely heavily on detailed and highly accura

    Autonomous Vehicle Navigation in Rural Environments without Detailed Prior Maps Teddy Ort1 , Liam Paull1,2 , Daniela Rus1 Abstract— State-of-the-art autonomous driving systems rely heavily on detailed and highly accura

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    Source URL: toyota.csail.mit.edu

    Language: English - Date: 2018-05-04 14:30:49
      43Robot navigation in multi-terrain outdoor environments using discrete representations and continuous vector fields Guilherme A. S. Pereira Luiz Chaimowicz Daniel S. C. de Almeida

      Robot navigation in multi-terrain outdoor environments using discrete representations and continuous vector fields Guilherme A. S. Pereira Luiz Chaimowicz Daniel S. C. de Almeida

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      Source URL: homepages.dcc.ufmg.br

      Language: English - Date: 2017-01-24 13:04:46
        44Midlet Navigation Graphs in JML Wojciech Mostowski and Erik Poll Radboud University Nijmegen Digital Security Group ,

        Midlet Navigation Graphs in JML Wojciech Mostowski and Erik Poll Radboud University Nijmegen Digital Security Group ,

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        Source URL: ceres.hh.se

        Language: English - Date: 2015-05-16 14:55:47
          45

          Sample Content Worksheet :: Navigation and Content Ideas HIRE US TO CREATE CONTENT FOR YOU! Discovery Notes: BD/Custodian:

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          Source URL: www.advisorflex.com

          Language: English - Date: 2017-09-21 14:46:00
            46Motion Planning for Optimal Information Gathering in Opportunistic Navigation Systems Zaher M. Kassas∗, and Todd E. Humphreys† The University of Texas at Austin, Austin, TX, 78712, USA Motion planning for optimal in

            Motion Planning for Optimal Information Gathering in Opportunistic Navigation Systems Zaher M. Kassas∗, and Todd E. Humphreys† The University of Texas at Austin, Austin, TX, 78712, USA Motion planning for optimal in

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            Source URL: aspin.ucr.edu

            Language: English - Date: 2016-09-07 23:14:22
              47Visual-Inertial Navigation for a Camera-Equipped 25 g Nano-Quadrotor Oliver Dunkley, Jakob Engel, J¨urgen Sturm and Daniel Cremers Technical University Munich Abstract— We present a 25 g nano-quadrotor equipped with a

              Visual-Inertial Navigation for a Camera-Equipped 25 g Nano-Quadrotor Oliver Dunkley, Jakob Engel, J¨urgen Sturm and Daniel Cremers Technical University Munich Abstract— We present a 25 g nano-quadrotor equipped with a

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              Source URL: vision.in.tum.de

              Language: English - Date: 2014-09-07 18:03:07
                48BIMx BIM DATA ACCESS ANYWHERE BIMx — the multi-award winning BIM project presentation application — features the BIMx Hyper-model for integrated 2D and 3D building project navigation. This unique technology brings B

                BIMx BIM DATA ACCESS ANYWHERE BIMx — the multi-award winning BIM project presentation application — features the BIMx Hyper-model for integrated 2D and 3D building project navigation. This unique technology brings B

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                Source URL: 2kjee01ahrit2jvwgg3znluw.wpengine.netdna-cdn.com

                Language: English - Date: 2017-09-06 17:09:34
                  49Directions: GPS navigation system: Please use address “Paul-Ehrlich-Str. 15, Tübingen”, which is next to the Max-Planck-Campus parking lot. (Access by car via Spemannstr. is no longer possible.) Max-Planck-Institute

                  Directions: GPS navigation system: Please use address “Paul-Ehrlich-Str. 15, Tübingen”, which is next to the Max-Planck-Campus parking lot. (Access by car via Spemannstr. is no longer possible.) Max-Planck-Institute

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                  Source URL: www.tuebingen.mpg.de

                  - Date: 2015-12-15 05:15:03
                    501 Cooperative Navigation for Mixed Human-Robot Teams Using Haptic Feedback Stefano Scheggi, Member, IEEE, Marco Aggravi, Student Member, IEEE, and Domenico Prattichizzo, Fellow, IEEE

                    1 Cooperative Navigation for Mixed Human-Robot Teams Using Haptic Feedback Stefano Scheggi, Member, IEEE, Marco Aggravi, Student Member, IEEE, and Domenico Prattichizzo, Fellow, IEEE

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                    Source URL: dali.disi.unitn.it

                    Language: English - Date: 2017-05-19 05:58:28