Results 41 to 50 of about 13,782 (194)

Penerapan Algoritma ORB SLAM-2 Pada Sistem Pemetaan Lingkungan Multi Robot

Invotek: Jurnal Inovasi Vokasional dan Teknologi, 2020
Sistem multi-robot telah diterapkan pada tugas-tugas kompleks yang biasanya dilakukan oleh manusia. Untuk dapat menjalankan tugasnya, robot perlu bernavigasi ke dari suatu posisi ke posisi lain.
Pipit Anggraeni, Ridwan Ridwan, Muhammad Taufiq Aulia Asshydiqi   +2 more
doaj   +1 more source

ORIENTATION OF POINT CLOUDS FOR COMPLEX SURFACES IN MEDICAL SURGERY USING TRINOCULAR VISUAL ODOMETRY AND STEREO ORB-SLAM2 [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020
In photogrammetry, computer vision and robotics, visual odometry (VO) and SLAM algorithms are well-known methods to estimate camera poses from image sequences. When dealing with unknown scenes there is often no reference data available and also the scene
O. Kahmen, N. Haase, T. Luhmann
doaj   +1 more source

Real-time Model-based Image Color Correction for Underwater Robots

, 2020
Recently, a new underwater imaging formation model presented that the coefficients related to the direct and backscatter transmission signals are dependent on the type of water, camera specifications, water depth, and imaging range.
Li, Alberto Quattrini, Roznere, Monika
core   +1 more source

An improved ORB-SLAM2 algorithm based on image information entropy

Journal of Physics: Conference Series, 2020
Abstract Aiming at the feature point extraction process in visual ORB-SLAM2, a visual SLAM method based on information entropy is proposed. In the process of ORB-SLAM2, due to the uncertainty of illumination and surrounding environment information, when the environment information is reduced, the number of feature points is likely to ...
Xiaokang Ren, Yongye Wang, Hongxiang Wang, Xingzhen Li, Xingxing Liu   +4 more
openaire   +1 more source

Fast Monte-Carlo Localization on Aerial Vehicles using Approximate Continuous Belief Representations

, 2018
Size, weight, and power constrained platforms impose constraints on computational resources that introduce unique challenges in implementing localization algorithms.
Dhawale, Aditya, Michael, Nathan, Shankar, Kumar Shaurya   +2 more
core   +1 more source

HBST: A Hamming Distance embedding Binary Search Tree for Visual Place Recognition [PDF]

, 2018
Reliable and efficient Visual Place Recognition is a major building block of modern SLAM systems. Leveraging on our prior work, in this paper we present a Hamming Distance embedding Binary Search Tree (HBST) approach for binary Descriptor Matching and ...
Grisetti, Giorgio, Schlegel, Dominik
core   +2 more sources

PE-SLAM: A Modified Simultaneous Localization and Mapping System Based on Particle Swarm Optimization and Epipolar Constraints

Applied Sciences
Due to various typical unstructured factors in the environment of photovoltaic power stations, such as high feature similarity, weak textures, and simple structures, the motion model of the ORB-SLAM2 algorithm performs poorly, leading to a decline in ...
Cuiming Li, Zhengyu Shang, Jinxin Wang, Wancai Niu, Ke Yang   +4 more
doaj   +1 more source

DS-SLAM: A Semantic Visual SLAM towards Dynamic Environments

, 2018
Simultaneous Localization and Mapping (SLAM) is considered to be a fundamental capability for intelligent mobile robots. Over the past decades, many impressed SLAM systems have been developed and achieved good performance under certain circumstances ...
Fei, Qiao, Liu, Xinjun, Liu, Zuxin, Wei, Qi, Xie, Fugui, Yang, Yi, Yu, Chao   +6 more
core   +1 more source

Network Uncertainty Informed Semantic Feature Selection for Visual SLAM

, 2019
In order to facilitate long-term localization using a visual simultaneous localization and mapping (SLAM) algorithm, careful feature selection can help ensure that reference points persist over long durations and the runtime and storage complexity of the
Ganti, Pranav, Waslander, Steven L.
core   +1 more source

Fast In-situ Mesh Generation using Orb-SLAM2 and OpenMVS

2020 17th International Conference on Ubiquitous Robots (UR), 2020
In exploratory robotics for nuclear decommissioning, environmental understanding is key. Sites such as Fukushima Daiichi Power Station and Sellafield often use manually controlled or semi-autonomous vehicles for exploration and monitoring of assets. In many cases, robots have limited sensing capabilities such as a single camera to provide video to the ...
Wright, Thomas, Hanari, Toshihide, Kawabata, Kuniaki, Lennox, Barry   +3 more
openaire   +2 more sources