Výsledky vyhledávání - "Justin Carrillo"

Akademický článek

An Analytic Model for Negative Obstacle Detection with Lidar and Numerical Validation Using Physics-Based Simulation

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

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Laboratory experimental study of tire tractive performance on soft soil: Towing mode, traction mode, and multi-pass effect

Autor: Javier E. Osorio, Corina Sandu, Justin Carrillo, Hoda Mousavi, Mohit Nitin Shenvi, Rui He

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

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Evaluating Tradeoffs for Swarm Reconnaissance With Autonomous Ground Vehicles

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

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Sensor and environment physics in the Virtual Autonomous Navigation Environment (VANE)

Autor: Juan D. Fernandez, Christopher Goodin, Justin Carrillo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7e515f4802e44dfaef909e297cd4a2ad
https://doi.org/10.21079/11681/37968

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Quantifying the Effects of Environmental Conditions on Autonomy Algorithms for Unmanned Ground Vehicles

Autor: Phillip J. Durst, Justin Carrillo

Publikováno v: Modelling and Simulation for Autonomous Systems ISBN: 9783030149833
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

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Using Physics-Based M&S for Training and Testing Machine Learning Algorithms

Autor: Burhman Q. Gates, Justin Carrillo, Phillip J. Durst, Gabe Monroe, Brent S. Newell

Publikováno v: Modelling and Simulation for Autonomous Systems ISBN: 9783030149833
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

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Unmanned ground vehicle simulation with the Virtual Autonomous Navigation Environment

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

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NIR sensitivity analysis with the VANE

Autor: Alex Baylot, Christopher Goodin, Justin Carrillo

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

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