A Practical Multirobot Localization System

@article{Krajnk2014APM,
  title={A Practical Multirobot Localization System},
  author={Tom{\'a}{\vs} Krajn{\'i}k and Mat{\'i}as Alejandro Nitsche and Jan Faigl and Petr Vanek and Martin Saska and Libor Preucil and Tom Duckett and Marta Mejail},
  journal={Journal of Intelligent \& Robotic Systems},
  year={2014},
  volume={76},
  pages={539-562}
}
We present a fast and precise vision-based software intended for multiple robot localization. [...] Key Method With off-the-shelf computational equipment and low-cost cameras, the core algorithm is able to process hundreds of images per second while tracking hundreds of objects with millimeter precision.Expand
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References

SHOWING 1-10 OF 41 REFERENCES
Low-cost embedded system for relative localization in robotic swarms
TLDR
A small, light-weight, low-cost, fast and reliable system designed to satisfy requirements of relative localization within a swarm of micro aerial vehicles and presented as an enabling technology for various robotic tasks.
Optical sensing for robot perception and localization
TLDR
VSLAM provides a cost-effective solution to localization and mapping for cluttered environments and is reliable to dynamic changes in the environment, and NorthStar uses IR projections onto a surface to estimate the robot's pose based on triangulation.
A monocular vision-based system for 6D relative robot localization
The objective of this paper is the full 6D relative localization of mobile devices, and direct robot-robot localization in particular. We present a novel relative localization system that consists of
Vision guided control of multiple robots
  • M. Fiala
  • Computer Science
    First Canadian Conference on Computer and Robot Vision, 2004. Proceedings.
  • 2004
TLDR
A vision based system is presented for controlling multiple robot platforms in real time using imagery from a top view video camera, and a control loop using vision feedback allows creation of a robust working system while greatly reducing the complexity of the rest of the system.
Simple yet stable bearing-only navigation
TLDR
The presented monocular navigation system for a mobile robot based on the map-and-replay technique is robust and easy to implement and does not require sensor calibration or structured environment, and its computational complexity is independent of the environment size.
A simple visual navigation system for an UAV
TLDR
A simple and robust monocular camera-based navigation system for an autonomous quadcopter that works even when sensing only one landmark at a time, allowing its operation in landmark poor environments.
Quadrocopter Hovering Using Position-estimation Information from Inertial Sensors and a High-delay Video System
TLDR
This paper presents an implementation of computer vision to hold a quadrocopter aircraft in a stable hovering position using a low-cost, consumer-grade, video system and proposes a slight modification of the Kalman filter to account for this delay.
A Simple Visual Navigation System with Convergence Property
TLDR
A theorem is proclaimed, which states, that for a limited odometric error and ”reasonable” trajectory, the robot uncertainty in position estimation does not diverge and a formal proof of this theorem is given for regular polygonal trajectories.
Circular coded landmark for optical 3D-measurement and robot vision
  • S. Ahn, W. Rauh, Matthias Recknagel
  • Computer Science
    Proceedings 1999 IEEE/RSJ International Conference on Intelligent Robots and Systems. Human and Environment Friendly Robots with High Intelligence and Emotional Quotients (Cat. No.99CH36289)
  • 1999
TLDR
This work presents a circular coded target for automatic image point measurement and identification, its data processing, and its application to the optical 3D-measurement method.
An Onboard Monocular Vision System for Autonomous Takeoff, Hovering and Landing of a Micro Aerial Vehicle
TLDR
The efficiency of the presented monocular vision system is demonstrated comprehensively by comparing it to ground truth data provided by a tracking system and by using its pose estimates as control inputs to autonomous flights of a quadrotor.
...
1
2
3
4
5
...