4 papers
On the descriptive power of LiDAR intensity images for segment-based loop closing in 3-D SLAM
Jan Wietrzykowski, Piotr Skrzypczyński
We propose an extension to the segment-based global localization method for LiDAR SLAM using descriptors learned considering the visual context of the segments. A new architecture…
Real-Time Visual Place Recognition for Personal Localization on a Mobile Device
Michał Nowicki, Jan Wietrzykowski, Piotr Skrzypczyński
The paper presents an approach to indoor personal localization on a mobile device based on visual place recognition. We implemented on a smartphone two state-of-the-art algorithms…
Adopting the FAB-MAP algorithm for indoor localization with WiFi fingerprints
Jan Wietrzykowski, Michał Nowicki, Piotr Skrzypczyński
Personal indoor localization is usually accomplished by fusing information from various sensors. A common choice is to use the WiFi adapter that provides information about Access P…
Low-effort place recognition with WiFi fingerprints using deep learning
Michał Nowicki, Jan Wietrzykowski
Using WiFi signals for indoor localization is the main localization modality of the existing personal indoor localization systems operating on mobile devices. WiFi fingerprinting i…