Self localization and mapping using optical and thermal imagery [PDF]
, 2011 Given a mobile robot starting from an unknown position in an unknown environment, with the task of explores the surroundings, it has to be able to build an environmental map and localize itself inside that map.
Magnabosco, Marina
core +7 more sources
Hector SLAM 2D Mapping for Simultaneous Localization and Mapping (SLAM) [PDF]
Journal of Engineering and Applied Sciences, 2019 This study presents an application of LiDAR sensor for 2D mapping construction in an unknown environments and capability to localize its own location based on landmark detected.
Shahrizal Saat +4 more
openaire +3 more sources
AUV SLAM and experiments using a mechanical scanning forward-looking sonar [PDF]
, 2012 Navigation technology is one of the most important challenges in the applications of autonomous underwater vehicles (AUVs) which navigate in the complex undersea environment.
Feng, Xiao +6 more
core +4 more sources
Monocular vision based indoor simultaneous localisation and mapping for quadrotor platform [PDF]
, 2012 An autonomous robot acting in an unknown dynamic environment requires a detailed understanding of its surroundings. This information is provided by mapping algorithms which are necessary to build a sensory representation of the environment and the ...
Agarwal, Saurav
core +7 more sources
Tracking and Registration Algorithm of Augmented Reality on Unknown Scene Based on IEKF-SLAM [PDF]
Jisuanji gongcheng, 2016 iming at the problem that nonlinear estimation results of Extended Kalman Filter-based Simultaneous Localization and Mapping(EKF-SLAM) algorithm are inconsistent,this paper proposes an Improved Extended Kalman Filter-based Simultaneous Localization and ...
ZHAO Yue,LI Jingjiao,WANG Aixia,YANG Dan
doaj +1 more source
Progress and Applications of Visual SLAM [PDF]
Journal of Geodesy and Geoinformation Science, 2019 Visual simultaneous localization and mapping (SLAM) provides mapping and self-localization results for a robot in an unknown environment based on visual sensors, that have the advantages of small volume, low power consumption, and richness of information
Kaichang DI,Wenhui WAN,Hongying ZHAO,Zhaoqin LIU,Runzhi WANG,Feizhou ZHANG
doaj +1 more source
LiDAR-Based Sensor Fusion SLAM and Localization for Autonomous Driving Vehicles in Complex Scenarios
Journal of Imaging, 2023 LiDAR-based simultaneous localization and mapping (SLAM) and online localization methods are widely used in autonomous driving, and are key parts of intelligent vehicles.
Kai Dai +6 more
doaj +1 more source
Managing Large-Scale Mapping and Localization for Pedestrians using Inertial Sensors [PDF]
, 2013 Pedestrian navigation in indoor environments without a pre-installed infrastructure still presents many challenges. There are different approaches that address the problem using prior knowledge about the environment when the building plans or similar
Patrick, Robertson +2 more
core +1 more source
Observability of Path Loss Parameters in WLAN-Based Simultaneous Localization and Mapping [PDF]
, 2013 Indoor positioning by means of received signal strengths has been gathering much interest since the massive presence of wireless local area networks (WLANs) in buildings.
Patrick Robertson +3 more
core +1 more source
Sensors, 2022 In dynamic indoor environments and for a Visual Simultaneous Localization and Mapping (vSLAM) system to operate, moving objects should be considered because they could affect the system’s visual odometer stability and its position estimation accuracy ...
Charalambos Theodorou +2 more
doaj +1 more source