Results 31 to 40 of about 3,988 (156)

Robust Multipath-Assisted SLAM with Unknown Process Noise and Clutter Intensity

Remote Sensing, 2021
In multipath-assisted simultaneous localization and mapping (SLAM), the geometric association of specular multipath components based on radio signals with environmental features is used to simultaneously localize user equipment and map the environment ...
Zesheng Dan, Baowang Lian, Chengkai Tang
doaj   +1 more source

A Compatible Framework for RGB-D SLAM in Dynamic Scenes

IEEE Access, 2019
Localization and mapping in a dynamic scene is a crucial problem for the indoor visual simultaneous localization and mapping (SLAM) system. Most existed visual odometry (VO) or SLAM systems are based on the assumption that the environment is static.
Lili Zhao, Zhili Liu, Jianwen Chen, Weitong Cai, Wenyi Wang, Liaoyuan Zeng   +5 more
doaj   +1 more source

A survey: which features are required for dynamic visual simultaneous localization and mapping?

Visual Computing for Industry, Biomedicine, and Art, 2021
In recent years, simultaneous localization and mapping in dynamic environments (dynamic SLAM) has attracted significant attention from both academia and industry.
Zewen Xu, Zheng Rong, Yihong Wu
doaj   +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

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

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

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

Comparison of the SLAM algorithms: Hangar experiments

MATEC Web of Conferences, 2016
This study purposes to compare two known algorithms in an application scenario of simultaneous localization and mapping (SLAM) and to present issues related with them as well.
Korkmaz Mehmet, Yılmaz Nihat, Durdu Akif   +2 more
doaj   +1 more source

HECTORSLAM 2D MAPPING FOR SIMULTANEOUS LOCALIZATION AND MAPPING (SLAM)

Journal of Physics: Conference Series, 2020
Abstract This paper presents an application of LiDAR sensor for 2D mapping construction in an unkwown environments and capability to localize its own location based on landmark detected. Previously, there are various research actively conducted by others researchers for SLAM application.
Shahrizal Saat, WN Abd Rashid, MZM Tumari, MS Saealal   +3 more
openaire   +1 more source

A Review of Common Techniques for Visual Simultaneous Localization and Mapping

Journal of Robotics, 2023
Mobile robots are widely used in medicine, agriculture, home furnishing, and industry. Simultaneous localization and mapping (SLAM) is the working basis of mobile robots, so it is extremely necessary and meaningful for making researches on SLAM ...
Yong Dai, Jiaxin Wu, Duo Wang
doaj   +1 more source