2 citations · 2 across the 1 of their papers we have counts for
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CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge
Marco Tranzatto, Frank Mascarich, Lukas Bernreiter +38
Autonomous exploration of subterranean environments constitutes a major frontier for robotic systems as underground settings present key challenges that can render robot autonomy h…
3D3L: Deep Learned 3D Keypoint Detection and Description for LiDARs
Dominic Streiff, Lukas Bernreiter, Florian Tschopp +2
With the advent of powerful, light-weight 3D LiDARs, they have become the hearth of many navigation and SLAM algorithms on various autonomous systems. Pointcloud registration metho…
VersaVIS: An Open Versatile Multi-Camera Visual-Inertial Sensor Suite
Florian Tschopp, Michael Riner, Marius Fehr +7
Robust and accurate pose estimation is crucial for many applications in mobile robotics. Extending visual Simultaneous Localization and Mapping (SLAM) with other modalities such as…
Predicting Unobserved Space For Planning via Depth Map Augmentation
Marius Fehr, Tim Taubner, Yang Liu +2
Safe and efficient path planning is crucial for autonomous mobile robots. A prerequisite for path planning is to have a comprehensive understanding of the 3D structure of the robot…
Incremental Object Database: Building 3D Models from Multiple Partial Observations
Fadri Furrer, Tonci Novkovic, Marius Fehr +5
Collecting 3D object datasets involves a large amount of manual work and is time consuming. Getting complete models of objects either requires a 3D scanner that covers all the surf…
Long-term Large-scale Mapping and Localization Using maplab
Marcin Dymczyk, Marius Fehr, Thomas Schneider +1
This paper discusses a large-scale and long-term mapping and localization scenario using the maplab open-source framework. We present a brief overview of the specific algorithms in…