Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Dominic Baril"'
Publikováno v:
Towards Human-Vehicle Harmonization ISBN: 9783110981223
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f75a98c794de42cee51af543d6a81cd
https://doi.org/10.1515/9783110981223-018
https://doi.org/10.1515/9783110981223-018
Autor:
Dominic Baril, Simon-Pierre Deschênes, Olivier Gamache, Maxime Vaidis, Damien LaRocque, Johann Laconte, Vladimír Kubelka, Philippe Giguère, François Pomerleau
Publikováno v:
Field Robotics. 2:1628-1660
Challenges inherent to autonomous wintertime navigation in forests include lack of reliable a Global Navigation Satellite System (GNSS) signal, low feature contrast, high illumination variations and changing environment. This type of off-road environ
Autor:
Simon-Pierre Deschênes, Vladimír Kubelka, Philippe Giguère, Dominic Baril, François Pomerleau
Publikováno v:
CRV
Registration algorithms, such as Iterative Closest Point (ICP), have proven effective in mobile robot localization algorithms over the last decades. However, they are susceptible to failure when a robot sustains extreme velocities and accelerations.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3026fc4a16eba4d3b2dd9abaea531e1
http://arxiv.org/abs/2105.01215
http://arxiv.org/abs/2105.01215
Autor:
Tomáš Rouček, Martin Pecka, Petr Čížek, Tomáš Petříček, Jan Bayer, Vojtěch Šalanský, Teymur Azayev, Daniel Heřt, Matěj Petrlík, Tomáš Báča, Vojtech Spurný, Vít Krátký, Pavel Petráček, Dominic Baril, Maxime Vaidis, Vladimír Kubelka, François Pomerleau, Jan Faigl, Karel Zimmermann, Martin Saska, Tomáš Svoboda, Tomáš Krajník
We present a field report of CTU-CRAS-NORLAB team from the Subterranean Challenge (SubT) organised by the Defense Advanced Research Projects Agency (DARPA). The contest seeks to advance technologies that would improve the safety and efficiency of sea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24c5073c7cb901e622b3d25296a61c8c
Autor:
André Gallant, Maxime Vaidis, Dominic Baril, Simon-Pierre Deschênes, Vincent Grondin, Philippe Giguère, François Pomerleau, Vladimír Kubelka, Johann Laconte
Publikováno v:
CRV
In subarctic and arctic areas, large and heavy skid-steered robots are preferred for their robustness and ability to operate on difficult terrain. State estimation, motion control and path planning for these robots rely on accurate odometry models ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf6d92fff5d98be1cfc3a451f0a1de4a
http://arxiv.org/abs/2004.05131
http://arxiv.org/abs/2004.05131