Trajectories

Results: 524



#Item
21

Data Fusion Concept to Estimate Vehicle Trajectories on Urban Arterials Farhana Naznin, Babak Mehran and Masao Kuwahara Key words: Data Fusion, Vehicle Trajectories, Urban Arterials Background

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Source URL: www.transport.iis.u-tokyo.ac.jp

Language: English - Date: 2015-05-18 02:22:20
    22

    Journal name Optimal Trajectories for Kinematic Planar Rigid Bodies with Switching Costs ():–

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    Source URL: www.cs.dartmouth.edu

    Language: English
      23

      Periodic Trajectories of Mobile Robots Alexandra Q. Nilles, Israel Becerra and Steven M. LaValle Abstract— Differential drive robots, such as robotic vacuums, often have at least two motion primitives: the ability to t

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      Source URL: msl.cs.uiuc.edu

      Language: English - Date: 2017-10-06 11:06:50
        24

        TUPSO77 Proceedings of FEL2013, New York, NY, USA ANALYTICAL AND NUMERICAL ANALYSIS OF ELECTRON TRAJECTORIES IN A 3-D UNDULATOR MAGNETIC FIELD*

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        Source URL: accelconf.web.cern.ch

        Language: English - Date: 2013-11-22 03:10:19
          25

          Deep Multimodal Embedding: Manipulating Novel Objects with Point-clouds, Language and Trajectories I. I NTRODUCTION Consider a robot manipulating a new appliance in a home kitchen, e.g. the toaster in Figure 3. The robot

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          Source URL: pr.cs.cornell.edu

          Language: English - Date: 2017-06-01 18:20:46
            26

            Sampling extremal trajectories for planar rigid bodies Weifu Wang and Devin Balkcom Abstract This paper presents an approach to finding the time-optimal trajectories for a simple rigid-body model of a mobile robot in an

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            Source URL: www.cs.dartmouth.edu

            Language: English
              27

              Controllable Video Generation with Sparse Trajectories Zekun Hao Xun Huang Serge Belongie Department of Computer Science & Cornell Tech, Cornell University {hz472,xh258,sjb344}@cornell.edu

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              Source URL: vision.cornell.edu

              - Date: 2018-03-29 15:28:48
                28

                Robobarista: Object Part based Transfer of Manipulation Trajectories from Crowd-sourcing in 3D Pointclouds Jaeyong Sung, Seok Hyun Jin, and Ashutosh Saxena Abstract There is a large variety of objects and appliances in

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                Source URL: robobarista.cs.cornell.edu

                - Date: 2015-08-16 08:21:19
                  29

                  Deep Multimodal Embedding: Manipulating Novel Objects with Point-clouds, Language and Trajectories I. I NTRODUCTION Consider a robot manipulating a new appliance in a home kitchen, e.g. the toaster in Figure 3. The robot

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                  Source URL: robobarista.cs.cornell.edu

                  - Date: 2017-05-25 11:12:46
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