Blar i NTNU Open på forfatter "Panchi, Nabil"
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Agree – Disagree: Comparing Traffic Limitations in the Kara Sea
Kim, Ekaterina; Panchi, Nabil (Chapter, 2021)This study investigates variability of ships’ operational limitations for ice conditions in view of national rules and international recommendations (the Rules for Navigation in the Water Area of the Northern Sea Route and ... -
Analysis of Arctic shipping operations using enhanced historical AIS data
Kolbjørnsgard, Sindre (Master thesis, 2022)Dagens utfordringer for en bærekraftig utvikling av den maritime næringer i Arktisk inkluderer å opprettholde konkurransefortrinne globalt, optimalisere energikilder og minimere den totale miljøpåvirkning. International ... -
Do vessels remain within their operational limitations in ice? Analyzing the risks of vessels operating in the Kara Sea region using POLARIS
Panchi, Nabil; Kim, Ekaterina; Xu, Sheng (Chapter, 2020)This study investigates whether the vessels remain within their operational limitations in ice using the risk index calculated based on the Polar Operational Limitations Assessment Risk Indexing System (POLARIS) - an ... -
Supplementing remote sensing of ice: Deep learning-based image segmentation system for automatic detection and localization of sea ice formations from close-range optical images
Panchi, Nabil; Kim, Ekaterina; Bhattacharyya, Anirban (Peer reviewed; Journal article, 2021)This paper presents a three-stage approach for the automated analysis of close-range optical images containing ice objects. The proposed system is based on an ensemble of deep learning models and conditional random field ... -
Towards automated identification of ice features for surface vessels using deep learning
Kim, Ekaterina; Panchi, Nabil; Dahiya, Gurvinder (Journal article; Peer reviewed, 2019)Ship traffic in ice exposed areas is increasing, and ice navigation is largely a manual task. Despite the progress in machine learning and computer vision algorithms, little focus has been given to computer-aided scene ... -
Understanding Polar Environment: Preliminary Results from Deep-Learning-based Segmentation of Optical Ice Images
Panchi, Nabil; Kim, Ekaterina; Bhattacharyya, Anirban (Chapter, 2019)Computer vision-aided scene understanding has drawn much attention, especially in autonomous vehicles and advanced driver assistance systems. Image segmentation forms the core of these systems, which is required for effective ...