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Event-based, 6-DOF pose tracking for high-speed maneuvers

Open access
Mueggler, Elias, Huber, Basil, Scaramuzza, Davide·2014·2014 IEEE/RSJ International Conference on Intelligent Robots and Systems

Abstract

In the last few years, we have witnessed impressive 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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Metadata

Authors
Mueggler, E., Huber, B., & Scaramuzza, D.
Venue
2014 IEEE/RSJ International Conference on Intelligent Robots and Systems
Publisher
IEEE
Published
2014-09
Pages
2761-2768
OpenAlex
W2014673260
Cited by
258
References
3
FWCI
21.95
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: Event-based, 6-DOF pose tracking for high-speed maneuvers. https://app.cochat.ai/papers/10.1109/iros.2014.6942940
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Mueggler, E., Huber, B., & Scaramuzza, D. (2014). Event-based, 6-DOF pose tracking for high-speed maneuvers. 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems. https://doi.org/10.1109/iros.2014.6942940

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