Reference : Visual SLAM: What Are the Current Trends and What to Expect?
Scientific journals : Article
Engineering, computing & technology : Computer science
Security, Reliability and Trust
http://hdl.handle.net/10993/53588
Visual SLAM: What Are the Current Trends and What to Expect?
English
Tourani, Ali mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation >]
Bavle, Hriday [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation >]
Sanchez Lopez, Jose Luis [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation >]
Voos, Holger [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Automation >]
29-Nov-2022
Sensors
Multidisciplinary Digital Publishing Institute (MDPI)
22
23
Aerial Robotics: Navigation and Path Planning
9297
Yes
International
1424-8220
1424-3210
Basel
Switzerland
[en] Vsual SLAM ; Computer Vision ; Robotics
[en] In recent years, Simultaneous Localization and Mapping (SLAM) systems have shown significant performance, accuracy, and efficiency gain. In this regard, Visual Simultaneous Localization and Mapping (VSLAM) methods refer to the SLAM approaches that employ cameras for pose estimation and map reconstruction and are preferred over Light Detection And Ranging (LiDAR)-based methods due to their lighter weight, lower acquisition costs, and richer environment representation. Hence, several VSLAM approaches have evolved using different camera types (e.g., monocular or stereo), and have been tested on various datasets (e.g., Technische Universit√§t M√ľnchen (TUM) RGB-D or European Robotics Challenge (EuRoC)) and in different conditions (i.e., indoors and outdoors), and employ multiple methodologies to have a better understanding of their surroundings. The mentioned variations have made this topic popular for researchers and have resulted in various methods. In this regard, the primary intent of this paper is to assimilate the wide range of works in VSLAM and present their recent advances, along with discussing the existing challenges and trends. This survey is worthwhile to give a big picture of the current focuses in robotics and VSLAM fields based on the concentrated resolutions and objectives of the state-of-the-art. This paper provides an in-depth literature survey of fifty impactful articles published in the VSLAMs domain. The mentioned manuscripts have been classified by different characteristics, including the novelty domain, objectives, employed algorithms, and semantic level. The paper also discusses the current trends and contemporary directions of VSLAM techniques that may help researchers investigate them.
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > ARG - Automation & Robotics
the Institute of Advanced Studies (IAS) of the University of Luxembourg (project TRANSCEND) ; the European Commission Horizon2020 research and innovation programme under the grant agreement No 101017258 (SESAME) ; the Luxembourg National Research Fund (FNR) 5G-SKY project (ref. C19/IS/13713801)
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/53588
10.3390/s22239297
https://doi.org/10.3390/s22239297

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