Sebastian Thrun

Results: 78



#Item
1Practical Search Techniques in Path Planning for Autonomous Driving Sebastian Thrun Dmitri Dolgov AI & Robotics Group Toyota Research Institute

Practical Search Techniques in Path Planning for Autonomous Driving Sebastian Thrun Dmitri Dolgov AI & Robotics Group Toyota Research Institute

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Source URL: ai.stanford.edu

Language: English - Date: 2008-07-25 14:38:49
    2FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem Michael Montemerlo and Sebastian Thrun Daphne Koller and Ben Wegbreit

    FastSLAM: A Factored Solution to the Simultaneous Localization and Mapping Problem Michael Montemerlo and Sebastian Thrun Daphne Koller and Ben Wegbreit

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    Source URL: ai.stanford.edu

    Language: English - Date: 2005-10-03 21:04:48
      3Precision Tracking with Sparse 3D and Dense Color 2D Data David Held, Jesse Levinson, and Sebastian Thrun Abstract— Precision tracking is important for predicting the behavior of other cars in autonomous driving. We pr

      Precision Tracking with Sparse 3D and Dense Color 2D Data David Held, Jesse Levinson, and Sebastian Thrun Abstract— Precision tracking is important for predicting the behavior of other cars in autonomous driving. We pr

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      Source URL: davheld.github.io

      - Date: 2017-12-05 20:18:01
        4Gesture Controllers Sergey Levine Philipp Kr¨ahenb¨uhl  Sebastian Thrun

        Gesture Controllers Sergey Levine Philipp Kr¨ahenb¨uhl Sebastian Thrun

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        Source URL: www.philkr.net

        - Date: 2017-10-06 12:46:13
          5A Probabilistic Framework for Car Detection in Images using Context and Scale David Held, Jesse Levinson and Sebastian Thrun Abstract— Detecting cars in real-world images is an important task for autonomous driving, ye

          A Probabilistic Framework for Car Detection in Images using Context and Scale David Held, Jesse Levinson and Sebastian Thrun Abstract— Detecting cars in real-world images is an important task for autonomous driving, ye

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          Source URL: davheld.github.io

          - Date: 2017-12-05 20:18:02
            6Learning to Track at 100 FPS with Deep Regression Networks David Held, Sebastian Thrun, Silvio Savarese Department of Computer Science Stanford University {davheld,thrun,ssilvio}@cs.stanford.edu

            Learning to Track at 100 FPS with Deep Regression Networks David Held, Sebastian Thrun, Silvio Savarese Department of Computer Science Stanford University {davheld,thrun,ssilvio}@cs.stanford.edu

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            Source URL: davheld.github.io

            - Date: 2017-12-05 20:18:02
              7Combining 3D Shape, Color, and Motion for Robust Anytime Tracking David Held, Jesse Levinson, Sebastian Thrun, Silvio Savarese Computer Science Department, Stanford University {davheld, jessel, thrun, ssilvio}@cs.stanfor

              Combining 3D Shape, Color, and Motion for Robust Anytime Tracking David Held, Jesse Levinson, Sebastian Thrun, Silvio Savarese Computer Science Department, Stanford University {davheld, jessel, thrun, ssilvio}@cs.stanfor

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              Source URL: davheld.github.io

              - Date: 2017-12-05 20:18:02
                8Learning to Track at 100 FPS with Deep Regression Networks - Supplementary Material David Held, Sebastian Thrun, Silvio Savarese Department of Computer Science Stanford University {davheld,thrun,ssilvio}@cs.stanford.edu

                Learning to Track at 100 FPS with Deep Regression Networks - Supplementary Material David Held, Sebastian Thrun, Silvio Savarese Department of Computer Science Stanford University {davheld,thrun,ssilvio}@cs.stanford.edu

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                Source URL: davheld.github.io

                - Date: 2017-12-05 20:18:02
                  9A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues David Held, Devin Guillory, Brice Rebsamen, Sebastian Thrun, Silvio Savarese Computer Science Department, Stanford Univer

                  A Probabilistic Framework for Real-time 3D Segmentation using Spatial, Temporal, and Semantic Cues David Held, Devin Guillory, Brice Rebsamen, Sebastian Thrun, Silvio Savarese Computer Science Department, Stanford Univer

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                  Source URL: davheld.github.io

                  Language: English - Date: 2016-08-23 02:12:42
                  10Compu&ng)Alone) Doesn’t)Solve) Social)Problems.)) So,)What)Next?! Kentaro)Toyama) School!of!Informa-on!

                  Compu&ng)Alone) Doesn’t)Solve) Social)Problems.)) So,)What)Next?! Kentaro)Toyama) School!of!Informa-on!

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                  Source URL: cra.org

                  Language: English - Date: 2016-07-19 11:38:48