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Towards evasive maneuvers with quadrotors using dynamic vision sensors


Müggler, Elias; Baumli, Nathan; Fontana, Flavio; Scaramuzza, Davide (2015). Towards evasive maneuvers with quadrotors using dynamic vision sensors. In: 2015 European Conference on Mobile Robots (ECMR), Lincoln, United Kingdom, 2 October 2015 - 4 October 2015, 1-8.

Abstract

We present a method to predict collisions with objects thrown at a quadrotor using a pair of dynamic vision sensors (DVS). Due to the micro-second temporal resolution of these sensors and the sparsity of their output, the object's trajectory can be estimated with minimal latency. Unlike standard cameras that send frames at a fixed frame rate, a DVS only transmits pixel-level brightness changes (“events”) at the time they occur. Our method tracks spherical objects on the image plane using probabilistic trackers that are updated with each incoming event. The object's trajectory is estimated using an Extended Kalman Filter with a mixed state space that allows incorporation of both the object's dynamics and the measurement noise in the image plane. Using error-propagation techniques, we predict a collision if the 3σ-ellipsoid along the predicted trajectory intersects with a safety sphere around the quadrotor. We experimentally demonstrate that our method allows initiating evasive maneuvers early enough to avoid collisions.

Abstract

We present a method to predict collisions with objects thrown at a quadrotor using a pair of dynamic vision sensors (DVS). Due to the micro-second temporal resolution of these sensors and the sparsity of their output, the object's trajectory can be estimated with minimal latency. Unlike standard cameras that send frames at a fixed frame rate, a DVS only transmits pixel-level brightness changes (“events”) at the time they occur. Our method tracks spherical objects on the image plane using probabilistic trackers that are updated with each incoming event. The object's trajectory is estimated using an Extended Kalman Filter with a mixed state space that allows incorporation of both the object's dynamics and the measurement noise in the image plane. Using error-propagation techniques, we predict a collision if the 3σ-ellipsoid along the predicted trajectory intersects with a safety sphere around the quadrotor. We experimentally demonstrate that our method allows initiating evasive maneuvers early enough to avoid collisions.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Language:English
Event End Date:4 October 2015
Deposited On:12 Aug 2016 08:43
Last Modified:08 Dec 2017 20:09
Publisher:Institute of Electrical and Electronics Engineers (IEEE)
ISBN:978-1-4673-9163-4
Publisher DOI:https://doi.org/10.1109/ECMR.2015.7324048
Related URLs:http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7324048&isnumber=7324045 (Publisher)
https://lcas.lincoln.ac.uk/ecmr15/ (Organisation)
Other Identification Number:merlin-id:12928

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