Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Justin Carrillo"'
Autor:
Christopher Goodin, Justin Carrillo, J. Gabriel Monroe, Daniel W. Carruth, Christopher R. Hudson
Publikováno v:
Sensors, Vol 21, Iss 9, p 3211 (2021)
Negative obstacles have long been a challenging aspect of autonomous navigation for ground vehicles. However, as terrestrial lidar sensors have become lighter and less costly, they have increasingly been deployed on small, low-flying UAV, affording a
Externí odkaz:
https://doaj.org/article/2f5a8dba576c4379824c38f3600bfce4
Publikováno v:
Journal of Terramechanics. 95:33-58
Tire tractive performance, soil behavior under the traffic, and multi-pass effect are among the key topics in the research of vehicle off-road dynamics. As an extension of the study (He et al., 2019a), this paper documents the testing of a tire movin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2eb4017e2d1d362d94d7e91fce325909
https://doi.org/10.1016/j.jterra.2021.02.001
https://doi.org/10.1016/j.jterra.2021.02.001
Autor:
Christopher Goodin, Lucas Cagle, Greg Henley, Rhett Fereday, Justin Carrillo, Peilin Song, David McInnis
Publikováno v:
Journal of Autonomous Vehicles and Systems. 2
Autonomous ground vehicles (AGVs) operating collaboratively have several advantages over vehicles operating alone. An AGV team may be more resilient and efficient than a single AGV. Other advantages of AGV teams include increased coverage and multipl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a1fd2629e6863a7faa7a4a879563fef
https://doi.org/10.1115/1.4054581
https://doi.org/10.1115/1.4054581
Autor:
Phillip J. Durst, Justin Carrillo
Publikováno v:
Modelling and Simulation for Autonomous Systems ISBN: 9783030149833
MESAS
MESAS
Autonomy for commercial applications is developing at a rapid pace; however, autonomous navigation of unmanned ground vehicles (UGVs) for military applications has been deployed to a limited extent. Delaying the use of autonomy for military applicati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::506af73e77e2707374b97c425f73b2ae
https://doi.org/10.1007/978-3-030-14984-0_31
https://doi.org/10.1007/978-3-030-14984-0_31
Publikováno v:
Modelling and Simulation for Autonomous Systems ISBN: 9783030149833
MESAS
MESAS
Machine learning algorithms have been used to successfully solve many complex and diverse problems especially in the domain of unmanned vehicle systems. However, machine learning algorithms require training data that contain extensive variations in s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2272181c9a808070f3b100fe1f484d9e
https://doi.org/10.1007/978-3-030-14984-0_33
https://doi.org/10.1007/978-3-030-14984-0_33
Autor:
Justin Carrillo, Christopher L. Cummins, David P. McInnis, Brent S. Newell, Phillip J. Durst, Burhman Q. Gates, Christopher Goodin
Publikováno v:
2017 International Conference on Military Technologies (ICMT).
Unmanned and autonomous ground vehicles have the potential to revolutionize military and civilian navigation. Military vehicles, however, present unique challenges related to autonomous navigation that are not encountered in civilian applications. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d859c5605698a9147d55929bc33803c
https://doi.org/10.1109/miltechs.2017.7988748
https://doi.org/10.1109/miltechs.2017.7988748
Publikováno v:
SPIE Proceedings.
Near infrared (NIR) cameras, with peak sensitivity around 905-nm wavelengths, are increasingly used in object detection applications such as pedestrian detection, occupant detection in vehicles, and vehicle detection. In this work, we present the res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bfd13aec028a3ba10f8003ef4021f0f
https://doi.org/10.1117/12.2222077
https://doi.org/10.1117/12.2222077