1 citations · 2 across the 9 of their papers we have counts for
10 papers
DRT&R: Direct Radar Teach & Repeat
Alexander Krawciw, Daniil Lisus, Cedric Le Gentil +1
Radar-based navigation is appealing for its robustness to adverse conditions involving airborne particles, such as precipitation, dust, fog, and smoke, that can cause lidar-based s…
FoMo: A Multi-Season Dataset for Robot Navigation in Forêt Montmorency
Matěj Boxan, Gabriel Jeanson, Alexander Krawciw +5
The Forêt Montmorency (FoMo) dataset is a comprehensive multi-season data collection, recorded over the span of one year in a boreal forest. Featuring a unique combination of on- a…
Lunar Rover Cargo Transport: Mission Concept and Field Test
Alexander Krawciw, Nicolas Olmedo, Faizan Rehmatullah +3
In future operations on the lunar surface, automated vehicles will be required to transport cargo between known locations. Such vehicles must be able to navigate precisely in safe…
Sharing the Load: Autonomous Multi-Rover Cargo Transport
Alexander Krawciw, Luka Antonyshyn, Sven Lilge +5
A future lunar habitat, as part of the Artemis program, will require a significant amount of logistics infrastructure. Cargo that is transported to the Moon will need to be moved f…
Toward Teach and Repeat Across Seasonal Deep Snow Accumulation
Matěj Boxan, Alexander Krawciw, Timothy D. Barfoot +1
Teach and repeat is a rapid way to achieve autonomy in challenging terrain and off-road environments. A human operator pilots the vehicles to create a network of paths that are map…
UAV See, UGV Do: Aerial Imagery and Virtual Teach Enabling Zero-Shot Ground Vehicle Repeat
Desiree Fisker, Alexander Krawciw, Sven Lilge +2
This paper presents Virtual Teach and Repeat (VirT&R): an extension of the Teach and Repeat (T&R) framework that enables GPS-denied, zero-shot autonomous ground vehicle navigation…
Radar Teach and Repeat: Architecture and Initial Field Testing
Xinyuan Qiao, Alexander Krawciw, Sven Lilge +1
Frequency-modulated continuous-wave (FMCW) scanning radar has emerged as an alternative to spinning LiDAR for state estimation on mobile robots. Radar's longer wavelength is less a…
FoMo: A Proposal for a Multi-Season Dataset for Robot Navigation in Forêt Montmorency
Matěj Boxan, Alexander Krawciw, Effie Daum +4
In this paper, we propose the FoMo (Forêt Montmorency) dataset: a comprehensive, multi-season data collection. Located in the Montmorency Forest, Quebec, Canada, our dataset will c…
LaserSAM: Zero-Shot Change Detection Using Visual Segmentation of Spinning LiDAR
Alexander Krawciw, Sven Lilge, Timothy D. Barfoot
This paper presents an approach for applying camera perception techniques to spinning LiDAR data. To improve the robustness of long-term change detection from a 3D LiDAR, range and…
Change of Scenery: Unsupervised LiDAR Change Detection for Mobile Robots
Alexander Krawciw, Jordy Sehn, Timothy D. Barfoot
This paper presents a fully unsupervised deep change detection approach for mobile robots with 3D LiDAR. In unstructured environments, it is infeasible to define a closed set of se…