Results 51 to 60 of about 20,695 (309)

Algorithms for Mobile Robot Localization and Mapping, Incorporating Detailed Noise Modeling and Multi-scale Feature Extraction [PDF]

, 2006
Mobile robot localization and mapping in unknown environments is a fundamental requirement for effective autonomous navigation. Three different approaches to localization and mapping are presented.
Pfister, Samuel Thomas
core   +1 more source

Managing Large-Scale Mapping and Localization for Pedestrians using Inertial Sensors

, 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, Michael, Angermann, Garcia Puyol, Maria   +2 more
core   +1 more source

A Review of Visual-LiDAR Fusion based Simultaneous Localization and Mapping

Sensors, 2020
Autonomous navigation requires both a precise and robust mapping and localization solution. In this context, Simultaneous Localization and Mapping (SLAM) is a very well-suited solution.
César Debeunne, Damien Vivet
doaj   +1 more source

Observability of Path Loss Parameters in WLAN-Based Simultaneous Localization and Mapping

, 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, Robertson, Patrick, Luigi Bruno, Bruno, Luigi   +3 more
core   +1 more source

Localisation and Mapping Using a Laser Range Finder: A Goal-Seeking Approach [PDF]

, 2009
In this paper we examine the problem of localisation and mapping of an unknown environment using data from a laser range finder. In order to support our method we detect landmarks in the environment using the same laser finder.
Sotirios Ch. Diamantas, Richard M. Crowder, Diamantas, Sotirios, Crowder, Richard   +3 more
core   +1 more source

AUV SLAM and experiments using a mechanical scanning forward-looking sonar

, 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.
Zhang, Shujing, Bo He, Yan Liang, Liang, Yan, Nian, Rui, Rui Nian, Shujing Zhang, Li, Minghui, Feng, Xiao, Minghui Li, Xiao Feng, Yan, Tianhong, Tianhong Yan, He, Bo   +13 more
core   +1 more source

A Review of 2D Lidar SLAM Research

Remote Sensing
Two-dimensional (2D) simultaneous localization and mapping (SLAM) is a key technology for intelligent indoor robots. By using a map generated via SLAM, the robot can navigate and perform specific tasks.
Yingying Ran, Xiaobin Xu, Zhiying Tan, Minzhou Luo   +3 more
doaj   +1 more source

Acoustic Simultaneous Localization And Mapping (SLAM)

, 2021
The current technologies employed for autonomous driving provide tremendous performance and results, but the technology itself is far from mature and relatively expensive. Some of the most commonly used components for autonomous driving include LiDAR, cameras, radar, and ultrasonic sensors.
openaire   +2 more sources

KEYFRAME-BASED VISUAL-INERTIAL SLAM USING NONLINEAR OPTIMIZATION [PDF]

, 2013
The fusion of visual and inertial cues has become popular in robotics due to the complementary nature of the two sensing modalities. While most fusion strategies to date rely on filtering schemes, the visual robotics community has recently turned to non ...
Konolige, Kurt, Rabaud, V, Stefan Leutenegger, Chli, Margarita, Kurt Konolige, Roland Siegwart, Chli, Margarita; id_orcid, Siegwart, Roland, Furgale, P, Chli, M, Paul Furgale, Vincent Rabaud, Leutenegger, S, Margarita Chli, Leutenegger, Stefan, Furgale, Paul, Rabaud, Vincent, Leutenegger, S., Konolige, K, Siegwart, R   +19 more
core   +1 more source

Grey Wolf Resampling-Based Rao-Blackwellized Particle Filter for Mobile Robot Simultaneous Localization and Mapping

Journal of Robotics, 2021
An artificial intelligent grey wolf optimizer (GWO)-assisted resampling scheme is applied to the Rao-Blackwellized particle filter (RBPF) in the simultaneous localization and mapping (SLAM).
Yong Dai, Ming Zhao
doaj   +1 more source