27 citations · 35 across the 8 of their papers we have counts for
3 papers · 1 filter
RTS-GT: Robotic Total Stations Ground Truthing dataset
Maxime Vaidis, Mohsen Hassanzadeh Shahraji, Effie Daum +3
Numerous datasets and benchmarks exist to assess and compare Simultaneous Localization and Mapping (SLAM) algorithms. Nevertheless, their precision must follow the rate at which SL…
Benchmarking ground truth trajectories with robotic total stations
Effie Daum, Maxime Vaidis, François Pomerleau
Benchmarks stand as vital cornerstones in elevating SLAM algorithms within mobile robotics. Consequently, ensuring accurate and reproducible ground truth generation is vital for fa…
Uncertainty analysis for accurate ground truth trajectories with robotic total stations
Maxime Vaidis, William Dubois, Effie Daum +2
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…