Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Gabriele Baris"'
Publikováno v:
Data-Centric Engineering, Vol 5 (2024)
Assisted and automated driving functions will rely on machine learning algorithms, given their ability to cope with real-world variations, e.g. vehicles of different shapes, positions, colors, and so forth. Supervised learning needs annotated dataset
Externí odkaz:
https://doaj.org/article/bbd861b1714c45b5977d7db5a19f931e
Autor:
Michael Mugnai, Massimo Teppati Losé, Edwin Paúl Herrera-Alarcón, Gabriele Baris, Massimo Satler, Carlo Alberto Avizzano
Publikováno v:
Drones, Vol 7, Iss 7, p 471 (2023)
Nowadays, multirotors are versatile systems that can be employed in several scenarios, where their increasing autonomy allows them to achieve complex missions without human intervention. This paper presents a framework for autonomous missions with lo
Externí odkaz:
https://doaj.org/article/c15715708c2f4879bca6a29ec8223984
Autor:
Paolo Tripicchio, Salvatore D’Avella, Gerardo Camacho-Gonzalez, Lorenzo Landolfi, Gabriele Baris, Carlo Alberto Avizzano, Alessandro Filippeschi
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 11, Iss 3, p 40 (2022)
Calibrating intrinsic and extrinsic camera parameters is a fundamental problem that is a preliminary task for a wide variety of applications, from robotics to computer vision to surveillance and industrial tasks. With the advent of Internet of Things
Externí odkaz:
https://doaj.org/article/df9856d9fb16478f962df6366d602de3
Recent advances in sensing, electronic, processing, machine learning, and communication technologies are accelerating the development of assisted and automated functions for commercial vehicles. Environmental perception sensor data are processed to g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82d17381d00a099ddd8f7ff39e9da5e5
https://doi.org/10.36227/techrxiv.23047412
https://doi.org/10.36227/techrxiv.23047412
Publikováno v:
2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca1056fbec3bcbb3217148bd20490f2e
https://doi.org/10.1109/iceccme55909.2022.9988623
https://doi.org/10.1109/iceccme55909.2022.9988623
Assisted and automated driving functions are increasingly deployed to support improved safety, efficiency, and enhance driver experience. However, there are still key technical challenges that need to be overcome, such as the degradation of perceptio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79ce22d69cc9112839b48cb6a52ba447
https://doi.org/10.36227/techrxiv.20199836.v2
https://doi.org/10.36227/techrxiv.20199836.v2
Autor:
Carlo Alberto AVIZZANO, Alessandro Filippeschi, Lorenzo Landolfi, Salvatore D'Avella, Gabriele Baris, Gerardo Jesus Camacho Gonzalez, Paolo Tripicchio
Publikováno v:
Journal of Sensor and Actuator Networks; Volume 11; Issue 3; Pages: 40
Calibrating intrinsic and extrinsic camera parameters is a fundamental problem that is a preliminary task for a wide variety of applications, from robotics to computer vision to surveillance and industrial tasks. With the advent of Internet of Things
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f302efb80743514e6227613c8516fb58
Assisted and automated driving functions are increasingly deployed to support improved safety, efficiency, and enhance driver experience. However, there are still key technical challenges that need to be overcome, such as the degradation of perceptio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ac82e9ccb17620a64a3b66a386af438
https://hdl.handle.net/11382/551232
https://hdl.handle.net/11382/551232
Autor:
Massimo Satler, Gabriele Baris, Carlo Alberto Avizzano, Davide Bagheri Ghavifekr, Edwin Paul Herrera Alarcon, Michael Mugnai
Autonomous exploration of unknown environments usually focuses on maximizing the volumetric exploration of the surroundings. Object-oriented exploration, on the other hand, tries to minimize the time spent on the localization of some given objects of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29334d7e5db04a9bfd038c088042beb2
http://hdl.handle.net/11382/540032
http://hdl.handle.net/11382/540032