Zobrazeno 1 - 10
of 14
pro vyhledávání: '"M Usman Maqbool Bhutta"'
Autor:
Muhammad Husnain Haider, Zhonglai Wang, Abdullah Aman Khan, Hub Ali, Hao Zheng, Shaban Usman, Rajesh Kumar, M. Usman Maqbool Bhutta, Pengpeng Zhi
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 9060-9070 (2022)
Collision-free navigation of mobile robots is a challenging task, especially in unknown environments, and various studies have been carried out in this regard. However, the previous studies have shortcomings, such as low performance in cluttered and
Externí odkaz:
https://doaj.org/article/d6f03d5615114b4fb3275b4819491e74
Publikováno v:
IEEE Transactions on Cybernetics. 52:5088-5097
In this article, we present a multiagent framework for real-time large-scale 3-D reconstruction applications. In SLAM, researchers usually build and update a 3-D map after applying nonlinear pose graph optimization techniques. Moreover, many multiage
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35f7bd6dd07477d552de437170cfb8d5
https://doi.org/10.1109/tcyb.2020.3027307
https://doi.org/10.1109/tcyb.2020.3027307
Autor:
Zhen Feng, Yanning Guo, Qing Liang, M. Usman Maqbool Bhutta, Hengli Wang, Ming Liu, Yuxiang Sun
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ca2e523c0a019e2ed2ba06a6b0adc653
https://doi.org/10.1109/tim.2022.3200100
https://doi.org/10.1109/tim.2022.3200100
Autor:
Muhammad Husnain Haider, Hub Ali, Abdullah Aman Khan, Hao Zheng, M. Usman Maqbool Bhutta, Shaban Usman, Pengpeng Zhi, Zhonglai Wang
Publikováno v:
2022 International Conference on Innovations and Development of Information Technologies and Robotics (IDITR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd97f8b6c143f8fb8e703dac7478dfcf
https://doi.org/10.1109/iditr54676.2022.9796495
https://doi.org/10.1109/iditr54676.2022.9796495
Deep learning-based image retrieval techniques for the loop closure detection demonstrate satisfactory performance. However, it is still challenging to achieve high-level performance based on previously trained models in different geographical region
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::774a26ce831ebdaa1a182fbb794ea176
http://arxiv.org/abs/2201.03212
http://arxiv.org/abs/2201.03212
Autor:
Rigen Wu, Jiahe Fan, Libo Guo, Lei Qiao, M. Usman Maqbool Bhutta, Brett Hosking, Sergey Vityazev, Rui Fan
Publikováno v:
2021 IEEE International Conference on Imaging Systems and Techniques (IST).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df85c0c35f37cc32508b7b8afc19f46b
https://doi.org/10.1109/ist50367.2021.9651423
https://doi.org/10.1109/ist50367.2021.9651423
Publikováno v:
IROS
The presence of any type of defect on the glass screen of smart devices has a great impact on their quality. We present a robust semi-supervised learning framework for intelligent micro-scaled localization and classification of defects on a 16K pixel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d21a905b4a4bf83b5a1e395caa101299
https://doi.org/10.1109/iros45743.2020.9341509
https://doi.org/10.1109/iros45743.2020.9341509
Autor:
M Usman Maqbool Bhutta, Ming Liu
Publikováno v:
2018 IEEE 8th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER).
For both indoor and outdoor environments, we propose an efficient and novel method for different scales and sparse 3D point clouds registration that cannot be handled by the current popular ICP approaches. Our algorithm efficiently detects the scale
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3698689b7331a87b43c960a2c81918a8
https://doi.org/10.1109/cyber.2018.8688177
https://doi.org/10.1109/cyber.2018.8688177
Autor:
Jianhao Jiao, Mohammud Junaid Bocus, Han Ma, Rui Fan, Ming Liu, M Usman Maqbool Bhutta, Lujia Wang, Yixin Ma
Publikováno v:
IST
Lane detection is very important for self-driving vehicles. In recent years, computer stereo vision has been prevalently used to enhance the accuracy of the lane detection systems. This paper mainly presents a multiple lane detection algorithm develo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edc53fafa6d99743ba4f1e25cf76f815
Publikováno v:
ICAILP
This paper presents a robust real time feature based algorithm for localization and recognition of multiple color and font style license plates. The algorithm uses digitized license plate images for robust detection and recognition. The resolution of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5494ccf8fbaf2d64aea40277b4c2c459
https://doi.org/10.1109/icalip.2014.7009936
https://doi.org/10.1109/icalip.2014.7009936