Search Results - "Konolige, K"

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  1. 1

    FrameSLAM: From Bundle Adjustment to Real-Time Visual Mapping by Konolige, K., Agrawal, M.

    Published in IEEE transactions on robotics (01-10-2008)
    “…Many successful indoor mapping techniques employ frame-to-frame matching of laser scans to produce detailed local maps as well as the closing of large loops…”
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    Journal Article
  2. 2

    Distributed Multirobot Exploration and Mapping by Fox, D., Ko, J., Konolige, K., Limketkai, B., Schulz, D., Stewart, B.

    Published in Proceedings of the IEEE (01-07-2006)
    “…Efficient exploration of unknown environments is a fundamental problem in mobile robotics. We present an approach to distributed multirobot mapping and…”
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    Journal Article
  3. 3

    Real-time Localization in Outdoor Environments using Stereo Vision and Inexpensive GPS by Agrawal, M., Konolige, K.

    “…We describe a real-time, low-cost system to localize a mobile robot in outdoor environments. Our system relies on stereo vision to robustly estimate…”
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    Conference Proceeding
  4. 4

    Background modeling for segmentation of video-rate stereo sequences by Eveland, C., Konolige, K., Bolles, R.C.

    “…Stereo sequences promise to be a powerful method for segmenting images for applications such as tracking human figures. We present a method of statistical…”
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    Conference Proceeding
  5. 5

    ORB: An efficient alternative to SIFT or SURF by Rublee, E., Rabaud, V., Konolige, K., Bradski, G.

    “…Feature matching is at the base of many computer vision problems, such as object recognition or structure from motion. Current methods rely on costly…”
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    Conference Proceeding
  6. 6

    Multimodal templates for real-time detection of texture-less objects in heavily cluttered scenes by Hinterstoisser, S., Holzer, S., Cagniart, C., Ilic, S., Konolige, K., Navab, N., Lepetit, V.

    “…We present a method for detecting 3D objects using multi-modalities. While it is generic, we demonstrate it on the combination of an image and a dense depth…”
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    Conference Proceeding
  7. 7

    Towards lifelong visual maps by Konolige, K., Bowman, J.

    “…The typical SLAM mapping system assumes a static environment and constructs a map that is then used without regard for ongoing changes. Most SLAM systems, such…”
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    Conference Proceeding
  8. 8

    Efficient Sparse Pose Adjustment for 2D mapping by Konolige, K, Grisetti, G, Kümmerle, Rainer, Burgard, W, Limketkai, B, Vincent, R

    “…Pose graphs have become a popular representation for solving the simultaneous localization and mapping (SLAM) problem. A pose graph is a set of robot poses…”
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    Conference Proceeding
  9. 9

    SLAM via Variable Reduction from Constraint Maps by Konolige, K.

    “…The two dominant forms of SLAM are based on Extended Kalman Filtering and Consistent Pose Estimation. We show that these are particular subsets of a more…”
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    Conference Proceeding
  10. 10

    Point feature extraction on 3D range scans taking into account object boundaries by Steder, B., Rusu, R. B., Konolige, K., Burgard, W.

    “…In this paper we address the topic of feature extraction in 3D point cloud data for object recognition and pose identification. We present a novel interest…”
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    Conference Proceeding
  11. 11

    Map merging for distributed robot navigation by Konolige, K., Fox, D., Limketkai, B., Ko, J., Stewart, B.

    “…A set of robots mapping an area can potentially combine their information to produce a distributed map more efficiently than a single robot alone. We describe…”
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    Conference Proceeding
  12. 12

    A practical, decision-theoretic approach to multi-robot mapping and exploration by Ko, J., Stewart, B., Fox, D., Konolige, K., Limketkai, B.

    “…An important assumption underlying virtually all approaches to multi-robot exploration is prior knowledge about their relative locations. This is due to the…”
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    Conference Proceeding
  13. 13

    Fast color/texture segmentation for outdoor robots by Blas, M.R., Agrawal, M., Sundaresan, A., Konolige, K.

    “…We present a fast integrated approach for online segmentation of images for outdoor robots. A compact color and texture descriptor has been developed to…”
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    Conference Proceeding
  14. 14

    Approximating a single viewpoint in panoramic imaging devices by Derrien, S., Konolige, K.

    “…Recent panoramic cameras present a very wide field of view from a single viewpoint. A single viewpoint is useful in mobile robotics for a number of reasons,…”
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    Conference Proceeding
  15. 15

    A multivalued logic approach to integrating planning and control by Saffiotti, Alessandro, Konolige, Kurt, Ruspini, Enrique H.

    Published in Artificial intelligence (01-07-1995)
    “…elligent agents embedded in a dynamic, uncertain environment should incorporate capabilities for both planned and reactive behavior. Many current solutions to…”
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    Journal Article
  16. 16

    Localization and Mapping for Autonomous Navigation in Outdoor Terrains : A Stereo Vision Approach by Agrawal, M., Konolige, K., Bolles, R.C.

    “…We consider the problem of autonomous navigation in unstructured outdoor terrains using vision sensors. The goal is for a robot to come into a new environment,…”
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    Conference Proceeding
  17. 17

    Hierarchies of octrees for efficient 3D mapping by Wurm, K. M., Hennes, D., Holz, D., Rusu, R. B., Stachniss, C., Konolige, K., Burgard, W.

    “…In this paper, we present a novel multi-resolution approach to efficiently mapping 3D environments. Our representation models the environment as a hierarchy of…”
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    Conference Proceeding
  18. 18

    The Saphira architecture: a design for autonomy by Konolige, Kurt, Myers, Karen, Ruspini, Enrique, Saffiotti, Alessandro

    “…Mobile robots, if they are to perform useful tasks and become accepted in open environments, must be fully autonomous. Autonomy has many different aspects ;…”
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    Journal Article
  19. 19

    Navigation in hybrid metric-topological maps by Konolige, K., Marder-Eppstein, E., Marthi, B.

    “…We present an approach for navigation in hybrid maps consisting of a topological graph overlaid with local occupancy grids. The topological graph is built on…”
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    Conference Proceeding
  20. 20

    Blending reactivity and goal-directedness in a fuzzy controller by Saffiotti, A., Ruspini, E.H., Konolige, K.

    “…Controlling the movement of an autonomous mobile robot requires the ability to pursue strategic goals in a highly reactive way. The authors describe a fuzzy…”
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    Conference Proceeding Journal Article