J
Johannes Strom
Researcher at University of Michigan
Publications - 11
Citations - 568
Johannes Strom is an academic researcher from University of Michigan. The author has contributed to research in topics: Robot & Camera resectioning. The author has an hindex of 9, co-authored 11 publications receiving 520 citations. Previous affiliations of Johannes Strom include Bowdoin College.
Papers
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Proceedings ArticleDOI
Graph-based segmentation for colored 3D laser point clouds
TL;DR: This work presents an efficient graph-theoretic algorithm for segmenting a colored laser point cloud derived from a laser scanner and camera that enables combination of color information from a wide field of view camera with a 3D LIDAR point cloud from an actuated planar laser scanner.
Proceedings ArticleDOI
AprilCal: Assisted and repeatable camera calibration
TL;DR: Two methods for scoring target positions are described: one that computes the stability of the focal length estimates for initializing the calibration, and another that subsequently quantifies the model uncertainty in pixel space.
Journal ArticleDOI
Progress toward multi-robot reconnaissance and the MAGIC 2010 competition
Edwin Olson,Johannes Strom,Ryan Morton,Andrew Richardson,Pradeep Ranganathan,Robert Goeddel,Mihai Bulic,Jacob Crossman,Bob Marinier +8 more
TL;DR: A variety of autonomous systems that require minimal human effort to control a large number of autonomously exploring robots are described, including a decoupled centralized planning architecture that allowed individual robots to execute tasks myopically, but whose behavior was coordinated centrally.
Book ChapterDOI
Omnidirectional walking using ZMP and preview control for the NAO humanoid robot
TL;DR: This work presents an implementation of an omnidirectional ZMP-based walk engine for the Nao robot, using a simple inverted pendulum model to enable path planning and introduces a system of global and egocentric coordinate frames to define step placement.
Journal ArticleDOI
Exploration and mapping with autonomous robot teams
TL;DR: The MAGIC 2010 robot competition showed how well multi-robot teams can work with human teams in urban search.