Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Roberto Opromolla"'
Publikováno v:
Sensors, Vol 24, Iss 10, p 3014 (2024)
This paper focuses on mission planning and cooperative navigation algorithms for multi-drone systems aimed at LiDAR-based mapping. It aims at demonstrating how multi-UAV cooperation can be used to fulfill LiDAR data georeferencing accuracy requiremen
Externí odkaz:
https://doaj.org/article/84d693ca3f154df998f68d407a49a4e7
Autor:
Giancarmine Fasano, Roberto Opromolla
Publikováno v:
Drones, Vol 7, Iss 10, p 621 (2023)
This paper provides an analytical framework to address the definition of sensing requirements in non-cooperative UAS sense and avoid. The generality of the approach makes it useful for the exploration of sensor design and selection trade-offs, for th
Externí odkaz:
https://doaj.org/article/ac3eaab72adc4a72a9ea38a7d8462586
Publikováno v:
Remote Sensing, Vol 14, Iss 18, p 4483 (2022)
This paper tackles the problem of spacecraft relative navigation to support the reach and capture of a passively cooperative space target using a chaser platform equipped with a robotic arm in the frame of future operations such as On Orbit Servicing
Externí odkaz:
https://doaj.org/article/e1c53f29dec84f0ca1aa5a7a22644cc0
Autor:
Roberto Opromolla, Alessia Nocerino
Publikováno v:
IEEE Access, Vol 7, Pp 180012-180026 (2019)
Autonomous relative navigation is a critical functionality which needs to be developed to enable safe maneuvers of a servicing spacecraft (chaser) in close-proximity with respect to an uncooperative space target, in the frame of future On-Orbit Servi
Externí odkaz:
https://doaj.org/article/0fe6099c9f7b4334991602f858953050
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3764 (2022)
To support the rapid development of the Urban Air Mobility framework, safe navigation must be ensured to Vertical Take-Off and Landing aircraft, especially in the approach and landing phases. Visual sensors have the potential of providing accurate me
Externí odkaz:
https://doaj.org/article/19113e2365724d6e8a59a5b49b0212cc
Autor:
Nicola Cimmino, Giorgio Isoletta, Roberto Opromolla, Giancarmine Fasano, Aniello Basile, Antonio Romano, Moreno Peroni, Alessandro Panico, Andrea Cecchini
Publikováno v:
Aerospace, Vol 8, Iss 7, p 185 (2021)
The continuous growth of space debris motivates the development and the improvement of tools that support the monitoring of a more and more congested space environment. Satellite breakup models play a key role to predict and analyze orbital debris ev
Externí odkaz:
https://doaj.org/article/47caad6d9d6c4bb0a7208789c5a17832
Publikováno v:
Sensors, Vol 21, Iss 11, p 3582 (2021)
This paper describes a calibration technique aimed at combined estimation of onboard and external magnetic disturbances for small Unmanned Aerial Systems (UAS). In particular, the objective is to estimate the onboard horizontal bias components and th
Externí odkaz:
https://doaj.org/article/509ef5070dec46eead5334b2a0deeaf8
Autor:
Roberto Opromolla
Publikováno v:
Sensors, Vol 20, Iss 2, p 538 (2020)
This paper presents a new method to improve the accuracy in the heading angle estimate provided by low-cost magnetometers on board of small Unmanned Aerial Vehicles (UAVs). This task can be achieved by estimating the systematic error produced by the
Externí odkaz:
https://doaj.org/article/6d8516f6b1594539b5bdd93b26f7f9ef
Publikováno v:
Sensors, Vol 15, Iss 3, Pp 6360-6382 (2015)
This paper presents a customized three-dimensional template matching technique for autonomous pose determination of uncooperative targets. This topic is relevant to advanced space applications, like active debris removal and on-orbit servicing. The p
Externí odkaz:
https://doaj.org/article/fe6951bad29a479e8d81ba03cc49e8e1
Publikováno v:
International Journal of Aerospace Engineering, Vol 2017 (2017)
This paper presents an original technique for robust detection of line features from range data, which is also the core element of an algorithm conceived for mapping 2D environments. A new approach is also discussed to improve the accuracy of positio
Externí odkaz:
https://doaj.org/article/f73987b237b648e9b10d584e4383f49c