Results 71 to 80 of about 24,073 (191)

Volume-based Semantic Labeling with Signed Distance Functions

, 2015
Research works on the two topics of Semantic Segmentation and SLAM (Simultaneous Localization and Mapping) have been following separate tracks. Here, we link them quite tightly by delineating a category label fusion technique that allows for embedding ...
Cavallari, Tommaso, Di Stefano, Luigi
core   +1 more source

Accurate position tracking with a single UWB anchor

, 2020
Accurate localization and tracking are a fundamental requirement for robotic applications. Localization systems like GPS, optical tracking, simultaneous localization and mapping (SLAM) are used for daily life activities, research, and commercial ...
Beltrame, Giovanni, Cao, Yanjun, Knoll, Alois, Li, Rui, Yang, Chenhao   +4 more
core   +1 more source

IV-SLAM: Introspective Vision for Simultaneous Localization and Mapping

, 2020
To be published in CoRL 2020 (Conference on Robot Learning)
Rabiee, Sadegh, Biswas, Joydeep
openaire   +2 more sources

A Markov-chain Monte Carlo approach to simultaneous localization and mapping [PDF]

, 2010
A Markov-chain Monte Carlo based algorithm is provided to solve the Simultaneous localization and mapping (SLAM) problem with general dynamics and observation model under open-loop control and provided that the map-representation is nite dimensional.
György, András, Szepesvári, Csaba, Torma, Péter   +2 more
core  

Review of Kalman filter variants for SLAM in mobile robotics with linearization and covariance initialization

Journal of Mechatronics, Electrical Power, and Vehicular Technology
Simultaneous localization and mapping (SLAM) has become a foundational concept in robotics navigation which enabling autonomous systems to build maps of unknown environments while estimating their own position.
Muhammad Haniff Gusrial, Nur Aqilah Othman, Hamzah Ahmad, Mohd Hasnun Arif Hassan   +3 more
doaj   +1 more source

Pop-up SLAM: Semantic Monocular Plane SLAM for Low-texture Environments

, 2017
Existing simultaneous localization and mapping (SLAM) algorithms are not robust in challenging low-texture environments because there are only few salient features.
Kaess, Michael, Scherer, Sebastian, Song, Yu, Yang, Shichao   +3 more
core   +1 more source

Autonomously Simultaneous Localization and Mapping Based on Line Tracking in a Factory-like Environment

Advances in Electrical and Electronic Engineering, 2019
This study is related to SLAM, also known simultaneous localization and mapping which is highly important and an indispensable issue for autonomous mobile robots.
Akif Durdu, Mehmet Korkmaz
doaj   +1 more source

Semantic visual simultaneous localization and mapping (SLAM) using deep learning for dynamic scenes. [PDF]

PeerJ Comput Sci, 2023
Zhang XY, Abd Rahman AH, Qamar F.
europepmc   +1 more source

FPGA-based ORB Feature Extraction for Real-Time Visual SLAM

, 2017
Simultaneous Localization And Mapping (SLAM) is the problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.
Fang, Weikang, Liu, Shaoshan, Yu, Bo, Zhang, Yanjun   +3 more
core   +1 more source

VA-LOAM: Visual Assist LiDAR Odometry and Mapping for Accurate Autonomous Navigation

Sensors
In this study, we enhanced odometry performance by integrating vision sensors with LiDAR sensors, which exhibit contrasting characteristics. Vision sensors provide extensive environmental information but are limited in precise distance measurement ...
Tae-Ki Jung, Gyu-In Jee
doaj   +1 more source