Zobrazeno 1 - 10
of 439
pro vyhledávání: '"visual place recognition"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Using visual place recognition (VPR) technology to ascertain the geographical location of publicly available images is a pressing issue. Although most current VPR methods achieve favorable results under ideal conditions, their performance in
Externí odkaz:
https://doaj.org/article/9914437915fc4bba8a3ac849e5bc447a
Publikováno v:
Alexandria Engineering Journal, Vol 109, Iss , Pp 950-962 (2024)
The progress of autonomous transport systems (ATS) involves efficient multimedia communication for real-time data tradeoffs and environmental issues. Deep learning (DL) powered visual place recognition (VPR) was developed as an effective tool to impr
Externí odkaz:
https://doaj.org/article/23515ee52534427a94f927464e27c346
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Visual place recognition (VPR) involves obtaining robust image descriptors to cope with differences in camera viewpoints and drastic external environment changes. Utilizing multiscale features improves the robustness of image descriptors; ho
Externí odkaz:
https://doaj.org/article/d944ac2a7b3a41368a30d462471b2592
Autor:
Zobeir Raisi, John Zelek
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
We live in a visual world where text cues are abundant in urban environments. The premise for our work is for robots to capitalize on these text features for visual place recognition. A new technique is introduced that uses an end-to-end scene text d
Externí odkaz:
https://doaj.org/article/f5371a566fa54a39892be053bbc9f723
Publikováno v:
Frontiers in Robotics and AI, Vol 11 (2024)
Visual place recognition (VPR) is a popular computer vision task aimed at recognizing the geographic location of a visual query, usually within a tolerance of a few meters. Modern approaches address VPR from an image retrieval standpoint using a kNN
Externí odkaz:
https://doaj.org/article/2be6eaf0a502444b922e48ab06dd62c5
Publikováno v:
IEEE Access, Vol 12, Pp 59589-59597 (2024)
Localization remains a pivotal aspect of mobile robotics, with robots being required to discern their position by comparing sensor inputs against a pre-established environmental map. Notably, environmental shifts over time can diminish the reliabilit
Externí odkaz:
https://doaj.org/article/2a79695759ed4570ad4ecf1947eec9fa
Publikováno v:
IEEE Access, Vol 12, Pp 5163-5176 (2024)
Visual place recognition is one of the core modern computer vision tasks concerned with identifying location based on the image taken there. Modern state-of-the-art approaches heavily rely on RGB images which are largely affected by changes in the sa
Externí odkaz:
https://doaj.org/article/bab5749eda7e4290b768a580b0f6acb3
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 1, Pp 1265-1281 (2023)
Abstract In recent years, various computational models have been proposed in neuroscience, but only a few have been utilized in robot visual navigation through engineering approaches. Besides, these engineering methods lack environmental adaptability
Externí odkaz:
https://doaj.org/article/0a8202344ad7457c9ff514f30d4166d2
Publikováno v:
Sensors, Vol 24, Iss 13, p 4130 (2024)
Visual Place Recognition (VPR) aims to determine whether a robot or visual navigation system locates in a previously visited place using visual information. It is an essential technology and challenging problem in computer vision and robotic communit
Externí odkaz:
https://doaj.org/article/bf784ac6f1df4c84a51bd57fab9c129c
Publikováno v:
Sensors, Vol 24, Iss 7, p 2203 (2024)
In recent years, semantic segmentation has made significant progress in visual place recognition (VPR) by using semantic information that is relatively invariant to appearance and viewpoint, demonstrating great potential. However, in some extreme sce
Externí odkaz:
https://doaj.org/article/296fc72e5a8f462ea98b9cf8c7f6bc86