Multimodal Localization for Embedded Systems: A Survey
Imane Salhi⁎,†; Martyna Poreba†; Erwan Piriou⁎; Valerie Gouet-Brunet†; Maroun Ojail⁎ ⁎CEA, LIST, Gif-sur-Yvette Cedex, France†Univ. Paris-Est, LASTIG MATIS, IGN, ENSG, Saint-Mande, France
Abstract
Localization by jointly exploiting multimodal information, like cameras, inertial measurement units (IMU), and global navigation satellite system (GNSS) data, is an active key research topic for autonomous embedded systems such as smart glasses or drones. These systems have become topical for acquisition, modeling, and interpretation for scene understanding. The exploitation of different sensor types improves the robustness of the localization, e.g. by merging the accuracy of one sensor ...
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