22 citations · 26 across the 3 of their papers we have counts for
4 papers
Fast and Robust Teach-and-Repeat Navigation Using MixVPR Visual Place Recognition*
Václav Truhlařík, Tomáš Pivoňka, Libor Přeučil
Teach-and-repeat navigation systems employing advanced visual place recognition techniques for localization exhibit key attributes for long-term mobile robot navigation, such as th…
Multi-Platform Teach-and-Repeat Navigation by Visual Place Recognition Based on Deep-Learned Local Features
Václav Truhlařík, Tomáš Pivoňka, Michal Kasarda +1
Uniform and variable environments still remain a challenge for stable visual localization and mapping in mobile robot navigation. One of the possible approaches suitable for such e…
On Model-Free Re-ranking for Visual Place Recognition with Deep Learned Local Features
Tomáš Pivoňka, Libor Přeučil
Re-ranking is the second stage of a visual place recognition task, in which the system chooses the best-matching images from a pre-selected subset of candidates. Model-free approac…
CLFT: Camera-LiDAR Fusion Transformer for Semantic Segmentation in Autonomous Driving
Junyi Gu, Mauro Bellone, Tomáš Pivoňka +1
Critical research about camera-and-LiDAR-based semantic object segmentation for autonomous driving significantly benefited from the recent development of deep learning. Specificall…