Results 41 to 50 of about 1,847 (173)

Indoor 3D Semantic Robot VSLAM Based on Mask Regional Convolutional Neural Network

IEEE Access, 2020
During the construction of indoor environmental semantic maps by robot Vision SLAM (VSLAM), there exist some problems such as low label classification accuracy and low precision under the situation of sparse feature points.
Chongben Tao, Zhen Gao, Jinli Yan, Chunguang Li, Guozeng Cui   +4 more
doaj   +1 more source

Visual module based on VSLAM

Journal of Physics: Conference Series, 2020
Abstract With the rapid development of science and technology, VSLAM (real-time positioning and map construction technology) has been widely used in AR/VR, robots, drones and unmanned aerial vehicles and other fields because of its unique theory and application value in the era of artificial intelligence.
Letian Xiong, Guojiao Liao, Shiqi Xiong
openaire   +1 more source

An Improved VSLAM for Mobile Robot Localization in Corridor Environment

Advances in Multimedia, Volume 2022, Issue 1, 2022., 2022
Localization is a fundamental capability for an autonomous mobile robot, especially in the navigation process. The commonly used laser‐based simultaneous localization and mapping (SLAM) method can build a grid map of the indoor environment and realize localization task.
Gengyu Ge, Zhong Qin, Lilve Fan, Qiangyi Li   +3 more
wiley   +1 more source

Interest point detectors for visual SLAM [PDF]

, 2007
In this paper we present several interest points detectors and we analyze their suitability when used as landmark extractors for vision-based simultaneous localization and mapping (vSLAM).
Ballesta, Monica, Gil, Arturo, Martinez Mozos, Oscar, Reinoso, Oscar   +3 more
core   +2 more sources

vSLAM using Deep Learning for Semantic Mapping

International Journal of Advanced Research in Science, Communication and Technology, 2022
As the domains of deep learning and computer vision are developing, we are trying to find new applications as well as utilization in old problems. In this paper we are trying to apply deep learning methods to augment the traditional robotics problem of Simultaneous Localization and Mapping (SLAM).
null Vishwanath S. Mahalle, null Abhishek A. Daberao, null Mujahid Ahmed Sayyed Salahuddin, null Shreyas S. Patil   +3 more
openaire   +1 more source

A Lightweight Stereo Visual Odometry System for Navigation of Autonomous Vehicles in Low‐Light Conditions

Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022
Localization of vehicles in a 3D environment is a basic task in autonomous driving. In the low‐light environments, it is difficult to navigate independently using a visual odometry for autonomous driving. The main reason for this challenge is the blurred images in the scenes with insufficient illumination. Although numerous works focused on this issue,
Jie Li, Zhenfei Kuang, Guangman Lu, Yuyang Peng, Wenli Shang, Jun Li, Wei Wei, Mingqian Liu   +7 more
wiley   +1 more source

[Retracted] On the Visual Construction of Environmental Factors in Modern Art Works from the Perspective of Painting Art

Journal of Environmental and Public Health, Volume 2022, Issue 1, 2022., 2022
Since the twenty‐first century, with the continuous improvement of economic life, people have higher and higher requirements for life at present. Therefore, exploring better environmental art design has become a key concern of many people. This kind of environmental design can rely on the development of modern art in China.
Shanshan Gong, Wen Zeng
wiley   +1 more source

SIMULTANEOUS LOCALIZATION AND MAPPING TRENDS AND HUMANOID ROBOT LINKAGES

Asia-Pacific Journal of Information Technology and Multimedia, 2013
Simultaneous localization and mapping (SLAM), also known as concurrent mapping and localization (CML), is an important topic or robotics files. This method produces a real-time map of an environment and finds the current position of a robot on that map ...
Farshid Pirahansiah, Siti Norul Huda Sheikh Abdullah, Shahnorbanun Sahran   +2 more
doaj   +1 more source

Visual SLAM algorithms and their application for AR, mapping, localization and wayfinding

Array, 2022
Visual simultaneous localization and mapping (vSLAM) algorithms use device camera to estimate agent's position and reconstruct structures in an unknown environment.
Charalambos Theodorou, Vladan Velisavljevic, Vladimir Dyo, Fredi Nonyelu   +3 more
doaj   +1 more source

Smooth Variable Structure Filter VSLAM

IFAC-PapersOnLine, 2016
Abstract Simultaneous localization and mapping (SLAM) is vital for autonomous robot navigation. The robot must build a map of its environment while tracking its own motion through that map. There are many ways to approach the problem, mostly based on the sequential probabilistic approach, based around extended Kalman filter (EKF) or the Rao ...
Allam Ahmed, Nemra Abdelkrim, Hamerlain Mustapha   +2 more
openaire   +1 more source