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Thread: Miscellaneous

  1. #81


    Zapping Zika with a Mosquito-Managing Drone

    Published on May 24, 2017

    Zapping Zika with a Mosquito-Managing Drone: Computing Optimal Flight Patterns with Minimum Turn Cost

    We present results arising from the problem of sweeping a mosquito-infested area with an Unmanned Aerial Vehicle (UAV) equipped with an electrified metal grid. This is related to the Traveling Salesman Problem, the Lawn Mower Problem and, most closely, Milling with Turn Cost. Planning a good trajectory can be reduced to considering penalty and budget variants of covering a grid graph with minimum turn cost. On the theoretical side, we show the solution of a problem from The Open Problems Project that had been open for more than 15 years, and hint at approximation algorithms. On the practical side, we describe an exact method based on Integer Programming that is able to compute provably optimal instances with over 500 pixels. These solutions are actually used for practical trajectories, as demonstrated in the video.

    by Aaron T. Becker (1), Mustapha Debboun (2), Sándor P. Fekete (3), Dominik Krupke (3), and An Nguyen (1)
    (1) Department of Electrical and Computer Engineering, University of Houston, Houston, TX 77204-4005 USA
    (2) Mosquito & Vector Control Division, Harris County Public Health, Houston, TX 77021 USA
    (3) Dept. of Computer Science, TU Braunschweig, Mühlenpfordtstr. 23, 38106 Braunschweig, Germany

  2. #82


    This drone goes where GPS can't

    Published on Jun 7, 2017

    NVIDIA researchers developed a drone that navigates without GPS and instead relies on deep learning and computer vision. Here, it flies along a forest trail, avoiding obstacles and maintaining a steady position in the center of the trail.
    "Into the Woods: This Drone Goes Where No GPS Can"

    by Jamie Beckett
    June 9, 2017

  3. #83
    Article "Miniaturizing the brain of a drone"
    Method for designing efficient computer chips may get miniature smart drones off the ground.

    by Jennifer Chu
    July 11, 2017

  4. #84


    Buzz of drones is more annoying than any other kind of vehicle

    Published on Jul 19, 2017

    A NASA study has discovered that people find the noise of drones more annoying than that of ground vehicles, even when the sounds are the same volume.
    Article "Buzz of drones is more annoying than any other kind of vehicle"

    by Alasdair Wilkins
    July 18, 2017

  5. #85

  6. #86


    Drones getting smarter with AI | Intel

    Published on Aug 29, 2017

    Drone pilot Kara Murphy and Intel Moviduis’ Cormac Brick explain why artificial intelligence and computer vision technologies are making drones easier to fly, safer and more capable that ever.

    About Intel:
    Intel, the world leader in silicon innovation, develops technologies, products and initiatives to continually advance how people work and live. Founded in 1968 to build semiconductor memory products, Intel introduced the world's first microprocessor in 1971. This decade, our mission is to create and extend computing technology to connect and enrich the lives of every person on earth.

  7. #87


    Metallica: Moth Into Flame (MetOnTour - Copenhagen, Denmark - 2017)

    Published on Sep 4, 2017

    Filmed at Royal Arena in Copenhagen, Denmark on September 2, 2017.
    "Micro drones swarm above Metallica"

    by Markus Waibel
    September 4, 2017

  8. #88


    Hybrid, frame and event based VIO for robust, autonomous navigation of quadrotors

    Published on Sep 19, 2017

    Event cameras are bio-inspired vision sensors that output pixel-level brightness changes instead of standard intensity frames. These cameras do not suffer from motion blur and have a very high dynamic range, which enables them to provide reliable visual information during high speed motions or in scenes characterized by high dynamic range. However, event cameras output only little information when the amount of motion is limited, such as in the case of almost still motion. Conversely, standard cameras provide instant and rich information about the environment most of the time (in low-speed and good lighting scenarios), but they fail severely in case of fast motions, or difficult lighting such as high dynamic range or low light scenes. In this paper, we present the first state estimation pipeline that leverages the complementary advantages of these two sensors by fusing in a tightly-coupled manner events, standard frames, and inertial measurements. We show on the publicly available Event Camera Dataset that our hybrid pipeline leads to an accuracy improvement of 130% over event-only pipelines, and 85% over standard-frames only visual-inertial systems, while still being computationally tractable. Furthermore, we use our pipeline to demonstrate—to the best of our knowledge—the first autonomous quadrotor flight using an event camera for state estimation, unlocking
    flight scenarios that were not reachable with traditional visual inertial odometry, such as low-light environments and high dynamic range scenes.

    Reference:
    "Hybrid, Frame and Event based Visual Inertial Odometry for Robust, Autonomous Navigation of Quadrotors"

    by Antoni Rosinol Vidal, Henri Rebecq, Timo Horstschaefer, Davide Scaramuzza

  9. #89


    Japan Drone 2017

    Published on Mar 23, 2017

    Article "Drone curbs overtime in Japan by blasting workers with music"
    It's hard to overwork when a robot is telling you to stop.

    by Jon Fingas
    December 7, 2017

  10. #90


    WeRobotics Webinar - Drone journalism in conflict zones

    Published on Apr 3, 2018

    Speaker: Gail Orenstein Gail has been a photographer for 23 years. Her drone work from Iraq, Bangladesh and Nepal has be syndicated around the world. In this webinar presentation, she shares her first-hand insights on balancing the powers and dangers of using small drones in high-risk areas are particularly instructive regardless of whether you work in disaster response, sustainable development, public health, environmental protection or climate change resilience.

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