Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Benjamin Abruzzo"'
Publikováno v:
Journal of Autonomous Vehicles and Systems. 2
This paper presents an investigation of collaborative localization for heterogeneous robots, resulting in a scheme for relative localization of a heterogeneous team of low-cost mobile robots. A novel complementary Kalman filter (CKF) approach is pres
Publikováno v:
Recent Trends and Advances in Model Based Systems Engineering ISBN: 9783030820824
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::74c3cd82d02f910852718b06568bd5f2
https://doi.org/10.1007/978-3-030-82083-1_6
https://doi.org/10.1007/978-3-030-82083-1_6
Autor:
Benjamin Abruzzo, Kevin Carey
Publikováno v:
2021 IEEE International Symposium on Technologies for Homeland Security (HST).
Publikováno v:
2021 IEEE International Symposium on Technologies for Homeland Security (HST).
Publikováno v:
2021 IEEE International Symposium on Technologies for Homeland Security (HST).
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III.
Computer simulation experimentation examined the effectiveness of different Unmanned Aircraft System (UAS) swarm configurations for identification and localization of survivors after a natural disaster using the DroneLab application. Swarms differed
Publikováno v:
2020 International Conference on Unmanned Aircraft Systems (ICUAS).
The United States Department of Defense seeks to integrate small unmanned aircraft systems (UAS) into infantry squads and develop tactics, techniques, and procedures using unmanned systems. Through an iterative design process consisting of live-fly t
Publikováno v:
CogSIMA
This work examines the relationships among drone swarm characteristics and how they affect swarm performance. A swarm of autonomous Unmanned Aerial Vehicles (UAVs) is implemented in simulation to cooperatively gather situational awareness data during
Publikováno v:
2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4).
This work continues a line of research examining the relationship between drone sensor swarm characteristics and performance of the swarm as a holistic system. A swarm of autonomous Unmanned Aerial Vehicles (UAVs) was implemented in simulation to coo
Autor:
Kevin Carey, Eric Sturzinger, Ross Arnold, Christopher J. Lowrance, Christopher Korpela, Benjamin Abruzzo
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II.
This paper compares the effectiveness of two different skeletal pose models for a near real-time, multi-stage classifier. A cascaded neural-network (NN) classifier was previously developed to identify the level of threat posed by an armed person base