Results 51 to 60 of about 34,843 (165)

Fog computing-enabled robot simultaneous localization and mapping

物联网学报, 2018
Robot simultaneous localization and mapping (SLAM) is often required when robots are used to explore prior-unknown environment,e.g.,in rescue scenarios.Fog computing,an emerging computing mode could be used to enable faster,more accurate,speedier,and ...
Yang YANG, Kai LI, Haidong XU, Huajun WANG, Kunlun WANG, Jian LI, Mingtuo ZHOU   +6 more
doaj   +2 more sources

InertialNet: Inertial Measurement Learning for Simultaneous Localization and Mapping. [PDF]

Sensors (Basel), 2023
Lin HY, Liu TA, Lin WY.
europepmc   +1 more source

Improved RTAB-Map Algorithm Based on Visible Light Positioning

IEEE Access
Visible Light Positioning (VLP) is an emerging technology that enables highly accurate indoor localization, especially in areas where GPS is not effective, such as inside buildings. VLP makes use of existing lighting systems but typically requires a high
Po-Hao Hunag, Si-Chuan Liu, Cheng-Hsiung Yang   +2 more
doaj   +1 more source

Automotive navigation for mobile robots: Comprehensive review

Results in Engineering
Effective navigation of mobile robots in a dynamic environment poses complex challenges, including mapping, localization, and path planning. These factors are interdependent and require robust solutions for successful robot navigation.
Mayar Abdullah Taleb, Gyula Korsoveczki, Géza Husi   +2 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

Implementing Simultaneous Localization and Mapping

, 2012
This paper will provide an overview of existing SLAM techniques and a brief review of several implementations. This will be done by describing the SLAM problem formulation, followed by the details involved in implementing both the image recognition and motion estimation approaches.
Quist, Eric, Beard, Randy
openaire   +1 more source

Simultaneous Localization and Mapping (SLAM) using RTAB-MAP

, 2018
This paper implements Simultaneous Localization and Mapping (SLAM) technique to construct a map of a given environment. A Real Time Appearance Based Mapping (RTAB-Map) approach was taken for accomplishing this task. Initially, a 2d occupancy grid and 3d octomap was created from a provided simulated environment.
openaire   +2 more sources

Related Keyframe Optimization Gaussian–Simultaneous Localization and Mapping: A 3D Gaussian Splatting-Based Simultaneous Localization and Mapping with Related Keyframe Optimization

Applied Sciences
Simultaneous localization and mapping (SLAM) is the basis for intelligent robots to explore the world. As a promising method for 3D reconstruction, 3D Gaussian splatting (3DGS) integrated with SLAM systems has shown significant potential. However, due to
Xiasheng Ma, Ci Song, Yimin Ji, Shanlin Zhong   +3 more
doaj   +1 more source

Simultaneous localization and mapping in a multi-robot system in a dynamic environment with unknown initial correspondence. [PDF]

Front Robot AI, 2023
Malakouti-Khah H, Sadeghzadeh-Nokhodberiz N, Montazeri A.   +2 more
europepmc   +1 more source

Real-Time Drivable Region Mapping Using an RGB-D Sensor with Loop Closure Refinement and 3D Semantic Map-Merging

Applied Sciences
Drivable region maps, created using a visual sensor, are essential for autonomous navigation because off-the-shelf maps do not reflect contemporary real-world conditions. This study presents a large-scale drivable region mapping system that is capable of
ChangWan Ha, DongHyun Yang, Gicheol Wang, Sung Chang Kim, HyungGi Jo   +4 more
doaj   +1 more source