Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Steven Roelofsen"'
Publikováno v:
Distributed Autonomous Robotic Systems ISBN: 9783319730066
DARS
DARS
Over the past years, the field of small unmanned aerial vehicles has grown significantly and several applications have appeared , requiring always more autonomous flight. An important remaining challenge for fully autonomous unmanned aerial vehicles
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ccacd92aa462734983e3655e2b54e2a
https://doi.org/10.1007/978-3-319-73008-0_6
https://doi.org/10.1007/978-3-319-73008-0_6
Publikováno v:
ICRA
Collision avoidance, in particular between robots, is an important component for autonomous robots. It is a necessary component in numerous applications such as human-robot interaction, automotive or unmanned aerial vehicles. While many collision avo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f19bf2c4dee39e4991ef4663abbafc2
https://doi.org/10.1109/icra.2017.7989223
https://doi.org/10.1109/icra.2017.7989223
3D collision avoidance algorithm for Unmanned Aerial Vehicles with limited field of view constraints
Publikováno v:
CDC
Unmanned Aerial Vehicles (UAVs) are becoming a significant field of research with numerous applications, ranging from mapping to surveillance. New applications, such as aerial delivery of goods, are expected to appear in the next years and will requi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb94cd76caf6dc8efd2bd34870a54300
https://doi.org/10.1109/cdc.2016.7798647
https://doi.org/10.1109/cdc.2016.7798647
Autor:
Steven Roelofsen, Vincent Lepetit, Denis Gillet, Alcherio Martinoli, Krishna Raj Sapkota, Artem Rozantsev, Pascal Fua
Publikováno v:
IROS
We propose an approach for on-line detection of small Unmanned Aerial Vehicles (UAVs) and estimation of their relative positions and velocities in the 3D environment from a single moving camera in the context of sense and avoid systems. This problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3390d9e11436ded87090c12e6718b08
https://doi.org/10.1109/iros.2016.7759252
https://doi.org/10.1109/iros.2016.7759252
Publikováno v:
ICRA
The remarkable accessibility of modern flying robots makes them an attractive platform for environmental sensing. However, low cost and ease of use are currently incompatible with large payloads, severely limiting the choice of sensor and ultimately
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d17951cfe5eaa2474e4bb5e0b21e319
https://doi.org/10.1109/icra.2016.7487741
https://doi.org/10.1109/icra.2016.7487741
Publikováno v:
IROS
In this paper we present a collision avoidance system based on visual detection. Our hardware consists of a Hummingbird quadrotor equipped with a large red marker with two built-in fish-eye cameras. Fusion of the measurements from the two cameras is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a96042ea5bd2013a427e4dd5366f42ac
https://doi.org/10.1109/iros.2015.7354053
https://doi.org/10.1109/iros.2015.7354053
Publikováno v:
ACC
This paper proposes a novel approach for collision avoidance between Unmanned Aerial Vehicles (UAVs) with limited range and field of view sensors. The algorithm is designed for unicycle vehicles that need to fly above a specific minimal speed to main
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2c2e3becca749568348166624570b497
https://doi.org/10.1109/acc.2015.7172014
https://doi.org/10.1109/acc.2015.7172014
Autor:
François Rey, Philippe Rétornaz, Michael Bonani, Florian Vaussard, Steven Roelofsen, Francesco Mondada
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783642339318
It is often challenging to manage the battery supply when dealing with a fleet of mobile robots during long experiments. If one uses classical recharge stations, then agents are immobilized during the whole recharge process. In this study, we present
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aaad21adc9032ca467f4efb7b8315e85
https://infoscience.epfl.ch/record/176106
https://infoscience.epfl.ch/record/176106