Deep Learning Techniques for Visual SLAM : a Survey

Visual Simultaneous Localization and Mapping (VSLAM) has attracted considerable attention in recent years. This task involves using visual sensors to localize a robot while simultaneously constructing an internal representation of its environment. Traditional VSLAM methods involve the laborious hand...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE access Ročník 11; s. 1
Hlavní autori:	Mokssit, Saad, Licea, Daniel Bonilla, Guermah, Bassma, Ghogho, Mounir
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Active learning Deep learning Estimation Feature extraction Joint learning Learning systems Location awareness Robot sensing systems Robots Simultaneous localization and mapping Survey Taxonomies Taxonomy Visual odometry Visual SLAM Visual tasks Visualization
ISSN:	2169-3536, 2169-3536
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!