Zobrazeno 1 - 10
of 163
pro vyhledávání: '"Reza Hoseinnezhad"'
Publikováno v:
IEEE Access, Vol 11, Pp 99289-99303 (2023)
The analysis of 3D motion information is the key to solve various computer vision tasks. Scene flow estimation tackles the problem of obtaining the 3D motion field. In this paper, we review the recent scene flow estimation papers with a focus on lear
Externí odkaz:
https://doaj.org/article/0335c7a3c7b641b299c688437749dc91
Publikováno v:
Intelligent Systems with Applications, Vol 17, Iss , Pp 200162- (2023)
The task of learning from point cloud data is always challenging due to the often occurrence of noise and outliers in the data. Such data inaccuracies can significantly influence the performance of state-of-the-art deep learning networks and their ab
Externí odkaz:
https://doaj.org/article/1d4d2cca130740d6829e87692490ef3c
Autor:
James Klupacs, Amirali Khodadadian Gostar, Tharindu Rathnayake, Iqbal Gondal, Alireza Bab-Hadiashar, Reza Hoseinnezhad
Publikováno v:
IEEE Access, Vol 10, Pp 85030-85049 (2022)
This paper reviews the state-of-the-art multi-sensor fusion approaches applicable in the next-generation intelligent transportation systems where connected vehicles are cooperatively driven for maximum safety and efficiency. The review finds out that
Externí odkaz:
https://doaj.org/article/efaa3a85c36d47f28f6087eda7f8f29c
Publikováno v:
IEEE Access, Vol 10, Pp 21541-21553 (2022)
Point clouds produced by either 3D scanners or multi-view images are often imperfect and contain noise or outliers. This paper presents an end-to-end robust spherical harmonics approach to classifying 3D objects. The proposed framework first uses the
Externí odkaz:
https://doaj.org/article/e5da2491c901499db92f849d568587b3
Publikováno v:
IEEE Access, Vol 9, Pp 158672-158681 (2021)
Defect detection in the manufacturing industry is of utmost importance for product quality inspection. Recently, optical defect detection has been investigated as anomaly detection using different deep learning methods. Most current works employ feat
Externí odkaz:
https://doaj.org/article/b84aa21676c94fba80a5eb188a37f3fc
Publikováno v:
IEEE Access, Vol 7, Pp 163757-163766 (2019)
Three-dimensional point clouds produced by 3D scanners are often noisy and contain outliers. Such data inaccuracies can significantly affect current deep learning-based methods and reduce their ability to classify objects. Most deep neural networks-b
Externí odkaz:
https://doaj.org/article/ff744f3faf994f53bda1b7689e1b4453
Autor:
Ammar Mansoor Kamoona, Amirali Khodadadian Gostar, Ruwan Tennakoon, Alireza Bab-Hadiashar, David Accadia, Joshua Thorpe, Reza Hoseinnezhad
Publikováno v:
IEEE Access, Vol 7, Pp 105710-105720 (2019)
Low visibility hazard detection in construction sites is a crucial task for prevention of fatal accidents. Manual monitoring of construction workers to ensure they follow the safety rules (e.g., wear high-visibility vests) is a cumbersome task and pr
Externí odkaz:
https://doaj.org/article/5f81259079bd4a89bdb752585b416b02
Publikováno v:
Advances in Mechanical Engineering, Vol 10 (2018)
Direct yaw-moment control systems have been proven effective in enhancing vehicle stability and handling. The existing direct yaw-moment control designs commonly involve computation of tire side-slip angles, which is susceptible to measurement and es
Externí odkaz:
https://doaj.org/article/f3d24e7568b8434e924b6e13a48adaf2
Publikováno v:
IET Computer Vision, Vol 9, Iss 6, Pp 895-902 (2015)
Three‐dimensional (3D) motion analysis of dynamic body organs using volumetric images is of increasing interest in different computer vision applications. A number of methods for estimation of 3D optical flow in those images have been developed in
Externí odkaz:
https://doaj.org/article/a9bb903d3a91431fa6d5a8a24ebdb77b
Autor:
Duong Phan, Alireza Bab-Hadiashar, Reza Hoseinnezhad, Reza N. Jazar, Abhijit Date, Ali Jamali, Dinh Ba Pham, Hamid Khayyam
Publikováno v:
Energies, Vol 13, Iss 7, p 1745 (2020)
This paper investigates the energy management system (EMS) of a conventional autonomous vehicle, with a view to enhance its powertrain efficiency. The designed EMS includes two neuro-fuzzy (NF) systems to produce the optimal torque of the engine. Thi
Externí odkaz:
https://doaj.org/article/5394bdec225249eb9f763346a5396c18