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  4. Event-based, 6-DOF Pose Tracking for High-Speed Maneuvers
 
conference paper not in proceedings

Event-based, 6-DOF Pose Tracking for High-Speed Maneuvers

Mueggler, Elias
•
Huber, Basil
•
Scaramuzza, Davide
2014
International Conference on Intelligent Robots and Systems IROS 2014

In the last few years, we have witnessed impres-sive demonstrations of aggressive flights and acrobatics using quadrotors. However, those robots are actually blind. They do not see by themselves, but through the “eyes” of an external motion capture system. Flight maneuvers using onboard sensors are still slow compared to those attainable with motion capture systems. At the current state, the agility of a robot is limited by the latency of its perception pipeline. To obtain more agile robots, we need to use faster sensors. In this paper, we present the first onboard perception system for 6-DOF localization during high-speed maneuvers using a Dynamic Vision Sensor (DVS). Unlike a standard CMOS camera, a DVS does not wastefully send full image frames at a fixed frame rate. Conversely, similar to the human eye, it only transmits pixel-level brightness changes at the time they occur with microsecond resolution, thus, offering the possibility to create a perception pipeline whose latency is negligible compared to the dynamics of the robot. We exploit these characteristics to estimate the pose of a quadrotor with respect to a known pattern during high-speed maneuvers, such as flips, with rotational speeds up to 1,200◦/s. Additionally, we provide a versatile method to capture ground-truth data using a DVS.

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Type
conference paper not in proceedings
Author(s)
Mueggler, Elias
Huber, Basil
Scaramuzza, Davide
Date Issued

2014

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
NCCR-ROBOTICS  
Event nameEvent placeEvent date
International Conference on Intelligent Robots and Systems IROS 2014

Chicago, Illinois,USA

Sept. 14–18, 2014

Available on Infoscience
November 5, 2014
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/108192
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