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pro vyhledávání: '"Vaidis, Maxime"'
Autor:
Vaidis, Maxime
Les algorithmes de localisation, cartographie 3D et de contrôle constituent une catégorie cruciale de la recherche en robotique mobile. Leur développement permet une localisation précise des plateformes robotiques, ainsi qu'une optimisation de le
Externí odkaz:
https://hdl.handle.net/20.500.11794/141784
Autor:
Gamache, Olivier, Fortin, Jean-Michel, Boxan, Matěj, Vaidis, Maxime, Pomerleau, François, Giguère, Philippe
Visual Odometry (VO) is one of the fundamental tasks in computer vision for robotics. However, its performance is deeply affected by High Dynamic Range (HDR) scenes, omnipresent outdoor. While new Automatic-Exposure (AE) approaches to mitigate this h
Externí odkaz:
http://arxiv.org/abs/2309.13139
Autor:
Vaidis, Maxime, Shahraji, Mohsen Hassanzadeh, Daum, Effie, Dubois, William, Giguère, Philippe, Pomerleau, François
Numerous datasets and benchmarks exist to assess and compare Simultaneous Localization and Mapping (SLAM) algorithms. Nevertheless, their precision must follow the rate at which SLAM algorithms improved in recent years. Moreover, current datasets fal
Externí odkaz:
http://arxiv.org/abs/2309.11935
Benchmarks stand as vital cornerstones in elevating SLAM algorithms within mobile robotics. Consequently, ensuring accurate and reproducible ground truth generation is vital for fair evaluation. A majority of outdoor ground truths are generated by GN
Externí odkaz:
http://arxiv.org/abs/2309.05134
In the context of robotics, accurate ground truth positioning is essential for the development of Simultaneous Localization and Mapping (SLAM) and control algorithms. Robotic Total Stations (RTSs) provide accurate and precise reference positions in d
Externí odkaz:
http://arxiv.org/abs/2308.01553
Autor:
Vaidis, Maxime, Dubois, William, Guénette, Alexandre, Laconte, Johann, Kubelka, Vladimír, Pomerleau, François
In the context of robotics, accurate ground-truth positioning is the cornerstone for the development of mapping and localization algorithms. In outdoor environments and over long distances, total stations provide accurate and precise measurements, th
Externí odkaz:
http://arxiv.org/abs/2210.01048
Visual and lidar Simultaneous Localization and Mapping (SLAM) algorithms benefit from the Inertial Measurement Unit (IMU) modality. The high-rate inertial data complement the other lower-rate modalities. Moreover, in the absence of constant accelerat
Externí odkaz:
http://arxiv.org/abs/2203.13799
Autor:
Baril, Dominic, Deschênes, Simon-Pierre, Gamache, Olivier, Vaidis, Maxime, LaRocque, Damien, Laconte, Johann, Kubelka, Vladimír, Giguère, Philippe, Pomerleau, François
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
Externí odkaz:
http://arxiv.org/abs/2111.13981
Autor:
Rouček, Tomáš, Pecka, Martin, Čížek, Petr, Petříček, Tomáš, Bayer, Jan, Šalanský, Vojtěch, Azayev, Teymur, Heřt, Daniel, Petrlík, Matěj, Báča, Tomáš, Spurný, Vojtěch, Krátký, Vít, Petráček, Pavel, Baril, Dominic, Vaidis, Maxime, Kubelka, Vladimír, Pomerleau, François, Faigl, Jan, Zimmermann, Karel, Saska, Martin, Svoboda, Tomáš, Krajník, Tomáš
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:
http://arxiv.org/abs/2110.05911
In robotics, accurate ground-truth position fostered the development of mapping and localization algorithms through the creation of cornerstone datasets. In outdoor environments and over long distances, total stations are the most accurate and precis
Externí odkaz:
http://arxiv.org/abs/2104.14396