Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Muhammad Monjurul Karim"'
Publikováno v:
IEEE Transactions on Intelligent Vehicles. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::621c7121af2b4901d0b053d8f68f36f0
https://doi.org/10.1109/tiv.2023.3275543
https://doi.org/10.1109/tiv.2023.3275543
A Virtual-Reality-Based Training and Assessment System for Bridge Inspectors With an Assistant Drone
Publikováno v:
IEEE Transactions on Human-Machine Systems. 52:591-601
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23f84caeecd0978b28a83e9c4c494507
https://doi.org/10.1109/thms.2022.3155373
https://doi.org/10.1109/thms.2022.3155373
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2676:743-755
Traffic accident anticipation is a vital function of Automated Driving Systems (ADS) in providing a safety-guaranteed driving experience. An accident anticipation model aims to predict accidents promptly and accurately before they occur. Existing Art
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34303f80708100470aee7ba358e1ccb3
https://doi.org/10.1177/03611981221076121
https://doi.org/10.1177/03611981221076121
The vast network of bridges in the United States raises a high requirement for maintenance and rehabilitation. The massive cost of manual visual inspection to assess bridge conditions is a burden to some extent. Advanced robots have been leveraged to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8ef47c371c2b01a1446d4e965eca23c
http://arxiv.org/abs/2209.02190
http://arxiv.org/abs/2209.02190
Publikováno v:
Procedia Computer Science. 168:177-185
Inspection and preservation of the aging bridges to extend their service life has been recognized as one of the important tasks of the State Departments of Transportation. Yet manual inspection procedure is not efficient to determine the safety statu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b40daca118dffba8f93d56cb2ca96001
https://doi.org/10.1016/j.procs.2020.02.276
https://doi.org/10.1016/j.procs.2020.02.276
Autor:
Ravon Lingard, Ruwen Qin, Ming-Chuan Leu, Muhammad Monjurul Karim, Zhaozheng Yin, David Doell
Publikováno v:
Procedia Manufacturing. 39:168-177
In today’s competitive production era, the ability to identify and track important objects in a near real-time manner is greatly desired among manufacturers who are moving towards the streamline production. Manually keeping track of every object in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c5ac06fc25a41af01174923a107697b2
https://doi.org/10.1016/j.promfg.2020.01.289
https://doi.org/10.1016/j.promfg.2020.01.289
Publikováno v:
Accident; analysis and prevention. 151
Reducing traffic fatal crashes has been an important mission of transportation. With the rapid development of sensor and Artificial Intelligence (AI) technologies, the computer vision (CV)-based crash anticipation in the near-crash phase is receiving
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::869615f77625833b01775e85aede6ffd
https://pubmed.ncbi.nlm.nih.gov/33385966
https://pubmed.ncbi.nlm.nih.gov/33385966
Publikováno v:
SoSE
Infrastructure inspection using unmanned aerial drones has a great potential to support complex inspection tasks especially where inspection task can be dangerous, dull or dirty. The increased number of systems in this type of inspection process make
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c441d9293a33a21c58d0ade5182ba47
https://doi.org/10.1109/sose50414.2020.9130538
https://doi.org/10.1109/sose50414.2020.9130538