Search Results - "Konolige, Kurt"

Refine Results
  1. 1

    Yale-CMU-Berkeley dataset for robotic manipulation research by Calli, Berk, Singh, Arjun, Bruce, James, Walsman, Aaron, Konolige, Kurt, Srinivasa, Siddhartha, Abbeel, Pieter, Dollar, Aaron M

    “…In this paper, we present an image and model dataset of the real-life objects from the Yale-CMU-Berkeley Object Set, which is specifically designed for…”
    Get full text
    Journal Article
  2. 2

    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…”
    Get full text
    Conference Proceeding
  3. 3

    View-based Maps by Konolige, Kurt, Bowman, James, Chen, J.D., Mihelich, Patrick, Calonder, Michael, Lepetit, Vincent, Fua, Pascal

    “…Robotic systems that can create and use visual maps in real-time have obvious advantages in many applications, from automatic driving to mobile manipulation in…”
    Get full text
    Journal Article
  4. 4

    Mapping, navigation, and learning for off-road traversal by Konolige, Kurt, Agrawal, Motilal, Blas, Morten Rufus, Bolles, Robert C., Gerkey, Brian, Solà, Joan, Sundaresan, Aravind

    Published in Journal of field robotics (01-01-2009)
    “…The challenge in the DARPA Learning Applied to Ground Robots (LAGR) project is to autonomously navigate a small robot using stereo vision as the main sensor…”
    Get full text
    Journal Article
  5. 5

    Compact signatures for high-speed interest point description and matching by Calonder, Michael, Lepetit, Vincent, Fua, Pascal, Konolige, Kurt, Bowman, James, Mihelich, Patrick

    “…Prominent feature point descriptors such as SIFT and SURF allow reliable real-time matching but at a computational cost that limits the number of points that…”
    Get full text
    Conference Proceeding
  6. 6

    The Office Marathon: Robust navigation in an indoor office environment by Marder-Eppstein, Eitan, Berger, Eric, Foote, Tully, Gerkey, Brian, Konolige, Kurt

    “…This paper describes a navigation system that allowed a robot to complete 26.2 miles of autonomous navigation in a real office environment. We present the…”
    Get full text
    Conference Proceeding
  7. 7

    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,…”
    Get full text
    Conference Proceeding
  8. 8

    KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects by Liu, Xingyu, Jonschkowski, Rico, Angelova, Anelia, Konolige, Kurt

    “…Estimating the 3D pose of desktop objects is crucial for applications such as robotic manipulation. Many existing approaches to this problem require a depth…”
    Get full text
    Conference Proceeding
  9. 9

    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…”
    Get full text
    Journal Article
  10. 10

    Double window optimisation for constant time visual SLAM by Strasdat, Hauke, Davison, Andrew J., Montiel, J.M.M., Konolige, Kurt

    “…We present a novel and general optimisation framework for visual SLAM, which scales for both local, highly accurate reconstruction and large-scale motion with…”
    Get full text
    Conference Proceeding
  11. 11

    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…”
    Get full text
    Conference Proceeding
  12. 12

    Change Their Perception: RGB-D for 3-D Modeling and Recognition by Xiaofeng Ren, Fox, Dieter, Konolige, Kurt

    Published in IEEE robotics & automation magazine (01-12-2013)
    “…RGB-D cameras, such as Microsoft Kinect, are active sensors that provide high-resolution dense color and depth information at real-time frame rates. The wide…”
    Get full text
    Journal Article
  13. 13

    Improved Occupancy Grids for Map Building by Konolige, Kurt

    Published in Autonomous robots (01-10-1997)
    “…Occupancy grids are a probabilistic method for fusing multiplesensor readings into surface maps of the environment. Although theunderlying theory has been…”
    Get full text
    Journal Article
  14. 14

    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…”
    Get full text
    Conference Proceeding
  15. 15

    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…”
    Get full text
    Journal Article
  16. 16

    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…”
    Get full text
    Conference Proceeding
  17. 17

    Vision-based detection for learning articulation models of cabinet doors and drawers in household environments by Sturm, Jürgen, Konolige, Kurt, Stachniss, Cyrill, Burgard, Wolfram

    “…Service robots deployed in domestic environments generally need the capability to deal with articulated objects such as doors and drawers in order to fulfill…”
    Get full text
    Conference Proceeding
  18. 18
  19. 19

    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…”
    Get full text
    Conference Proceeding
  20. 20

    Projected texture stereo by Konolige, Kurt

    “…Passive stereo vision is widely used as a range sensing technology in robots, but suffers from dropouts: areas of low texture where stereo matching fails. By…”
    Get full text
    Conference Proceeding