20 citations · 42 across the 14 of their papers we have counts for
3 papers · 1 filter
Pointing the Way: Refining Radar-Lidar Localization Using Learned ICP Weights
Daniil Lisus, Johann Laconte, Keenan Burnett +2
This paper presents a novel deep-learning-based approach to improve localizing radar measurements against lidar maps. This radar-lidar localization leverages the benefits of both s…
Toward Certifying Maps for Safe Registration-based Localization Under Adverse Conditions
Johann Laconte, Daniil Lisus, Timothy D. Barfoot
In this paper, we propose a way to model the resilience of the Iterative Closest Point (ICP) algorithm in the presence of corrupted measurements. In the context of autonomous vehic…
Towards Open World NeRF-Based SLAM
Daniil Lisus, Connor Holmes, Steven Waslander
Neural Radiance Fields (NeRFs) offer versatility and robustness in map representations for Simultaneous Localization and Mapping (SLAM) tasks. This paper extends NICE-SLAM, a recen…