Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Deepak Kumar Dewangan"'
Publikováno v:
Electronics Letters, Vol 57, Iss 2, Pp 53-56 (2021)
Abstract Advancement in vision‐based techniques has enabled the autonomous vehicle system (AVS) to understand the driving scene in depth. The capability of autonomous vehicle system to understand the scene, and detecting the specific object depends
Externí odkaz:
https://doaj.org/article/3e8099d3ef224721a32420581c11a79c
Lane detection in intelligent vehicle system using optimal 2- tier deep convolutional neural network
Publikováno v:
Multimedia Tools and Applications. 82:7293-7317
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52915781cdf2616aee6ea3bda3766e96
https://doi.org/10.1007/s11042-022-13425-7
https://doi.org/10.1007/s11042-022-13425-7
Publikováno v:
Evolutionary Intelligence. 16:759-800
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ada8d5ee6fba30868c174a8d4dd0c47
https://doi.org/10.1007/s12065-022-00713-2
https://doi.org/10.1007/s12065-022-00713-2
Publikováno v:
Multimedia Tools and Applications. 81:13935-13960
Breast cancer is one of the primary causes of death that is occurred in females around the world. So, the recognition and categorization of initial phase breast cancer are necessary to help the patients to have suitable action. However, mammography i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9783a16d6caea8432c135ee79c2238dc
https://doi.org/10.1007/s11042-022-12385-2
https://doi.org/10.1007/s11042-022-12385-2
Publikováno v:
2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::354666881a1b2197a88f76e28e103d48
https://doi.org/10.1109/otcon56053.2023.10113992
https://doi.org/10.1109/otcon56053.2023.10113992
Publikováno v:
IoT Based Control Networks and Intelligent Systems ISBN: 9789811958441
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21b1cb02cce66f5a4ab27715dd893fa8
https://doi.org/10.1007/978-981-19-5845-8_22
https://doi.org/10.1007/978-981-19-5845-8_22
Publikováno v:
Computing. 103:2867-2892
Detection of lane region under the road boundary is an imperative module for intelligent vehicle system. Lane markings provide separate regions on the road for the vehicles to avoid the possibility of accidents. Existing methods in lane detection hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f8ecadb82f6c3f8c6c43623f1405e97
https://doi.org/10.1007/s00607-021-00974-2
https://doi.org/10.1007/s00607-021-00974-2
Publikováno v:
IEEE Sensors Journal. 21:6367-6375
Lane detection on the road is the most essential phase of existing advanced driver assistance systems (ADAS). In the current road scheme, the lanes are parallel tracks which are marked based on the different speed limit for the vehicles. Lane marking
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7624e4b8072a9e55a290926cbbc92a3
https://doi.org/10.1109/jsen.2020.3037340
https://doi.org/10.1109/jsen.2020.3037340
Publikováno v:
Intelligent Service Robotics. 14:199-214
Vision-based techniques for intelligent vehicles in heterogeneous road environments are gaining significant attention from researchers and industrialists. Unfortunately, the mechanisms in this domain suffer from limited performance due to scene compl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02b026e70499a5cf5020386a144ccbfb
https://doi.org/10.1007/s11370-020-00343-6
https://doi.org/10.1007/s11370-020-00343-6
Publikováno v:
IEEE Sensors Journal. 21:3570-3578
Artificial intelligence in vision based approaches have proven to be effective in various phases of intelligent vehicle system (IVS). An IVS has to intelligently take many critical decisions in heterogeneous environment. Speed bump detection is one s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::deaa83aaa7bf840a235932ee8f123352
https://doi.org/10.1109/jsen.2020.3027097
https://doi.org/10.1109/jsen.2020.3027097