Results 31 to 40 of about 12,075 (277)
Even when simultaneous localization and mapping (SLAM) solutions have been broadly developed, the vast majority of them relate to a single robot performing measurements in static environments.
S. Badalkhani, R. Havangi
doaj
A New Method of Simultaneous Localization and Mapping for Mobile Robots Using Acoustic Landmarks
The simultaneous localization and mapping (SLAM) problem for mobile robots has always been a hotspot in the field of robotics. Simultaneous localization and mapping for robots using visual sensors and laser radar is easily affected by the field of view ...
Xiaohui Chen, Hao Sun, Heng Zhang
doaj +1 more source
The Mobile Mapping System (MMS) plays a crucial role in generating accurate 3D maps for a wide range of applications. However, traditional MMS that utilizes tilted LiDAR (light detection and ranging) faces limitations in capturing comprehensive ...
Yujia Zhang, Jungwon Kang, Gunho Sohn
doaj +1 more source
A Compatible Framework for RGB-D SLAM in Dynamic Scenes
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 +5 more
doaj +1 more source
Robust Multipath-Assisted SLAM with Unknown Process Noise and Clutter Intensity
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
Simultaneous localization and map-building using active vision [PDF]
An active approach to sensing can provide the focused measurement capability over a wide field of view which allows correctly formulated Simultaneous Localization and Map-Building (SLAM) to be implemented with vision, permitting repeatable long-term ...
D.W. Murray +5 more
core +2 more sources
A survey: which features are required for dynamic visual simultaneous localization and mapping?
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
Visual 3-D SLAM from UAVs [PDF]
The aim of the paper is to present, test and discuss the implementation of Visual SLAM techniques to images taken from Unmanned Aerial Vehicles (UAVs) outdoors, in partially structured environments.
Campoy Cervera, Pascual +14 more
core +1 more source
IV-SLAM: Introspective Vision for Simultaneous Localization and Mapping
To be published in CoRL 2020 (Conference on Robot Learning)
Sadegh Rabiee, Joydeep Biswas
openaire +4 more sources
The common state filter for SLAM [PDF]
This paper presents the Common State Filter (CSF), a novel and efficient suboptimal Multiple Hypothesis SLAM (MHSLAM) method for Kalman Filter-based SLAM algorithms. Conventional MHSLAM algorithms require the entire vehicle and map state to be copied for
Parsley, MP +3 more
core +1 more source

