Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Igor Vasiljevic"'
Publikováno v:
IEEE Robotics and Automation Letters. 7:5397-5404
Self-supervised monocular depth and ego-motion estimation is a promising approach to replace or supplement expensive depth sensors such as LiDAR for robotics applications like autonomous driving. However, most research in this area focuses on a singl
Autor:
Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rare Ambru, Greg Shakhnarovich, Matthew R. Walter, Adrien Gaidon
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198236
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf689120b0de7d246684b730f9408fb8
https://doi.org/10.1007/978-3-031-19824-3_15
https://doi.org/10.1007/978-3-031-19824-3_15
Autor:
Wolfram Burgard, Vitor Guizilini, Greg Shakhnarovich, Sudeep Pillai, Rares Ambrus, Igor Vasiljevic, Adrien Gaidon
Publikováno v:
3DV
Self-supervised learning has emerged as a powerful tool for depth and ego-motion estimation, leading to state-of-the-art results on benchmark datasets. However, one significant limitation shared by current methods is the assumption of a known paramet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70496db2cc8588efa311de034ec9518e
Autor:
Robert M. Jones, Kevin Rossi, Claudio Zeni, Mirko Vanzan, Igor Vasiljevic, Alejandro Santana-Bonilla, Francesca Baletto
A non-trivial interplay rules the relationship between the structure and the chemophysical properties of a nanoparticle. In this context, characterization experiments, molecular dynamics simulations and electronic structure calculations may allow the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::278a4dc2a2975b3cb413e1f10ed7a836
https://infoscience.epfl.ch/record/297832
https://infoscience.epfl.ch/record/297832