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Maxime Vaidis

5 accepted papers

2024

Exposing the Unseen: Exposure Time Emulation for Offline Benchmarking of Vision Algorithms

Olivier Gamache, Jean-Michel Fortin, Matěj Boxan, Maxime Vaidis, François Pomerleau, Philippe Giguère
IROS 2024poster

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 have appeared, their comparison in a reproducible m…

Cited by 3Source ↗code ↗Scholar ↗
2024

RTS-GT: Robotic Total Stations Ground Truthing dataset

Maxime Vaidis, Mohsen Hassanzadeh Shahraji, Effie Daum, William Dubois, Philippe Giguère, François Pomerleau
ICRA 2024poster

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 fall short of comprehensive data-collection protocol…

Cited by 3Source ↗code ↗Scholar ↗
2023

Extrinsic calibration for highly accurate trajectories reconstruction

Maxime Vaidis, William Dubois, Alexandre Guénette, Johann Laconte, Vladimír Kubelka, François Pomerleau
ICRA 2023poster

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, that are unaffected by the usual factors that deteri…

Cited by 7Source ↗code ↗Scholar ↗
2023

Uncertainty Analysis for Accurate Ground Truth Trajectories with Robotic Total Stations

Maxime Vaidis, William Dubois, Effie Daum, Damien LaRocque, François Pomerleau
IROS 2023poster

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 different types of outdoor environments, especially…

Cited by 5Source ↗code ↗Scholar ↗