Adina Magda

Featured in: Favicon

mdpi.com

Articles

Vehicle Ego-Trajectory Segmentation Using Guidance Cues

Sep 3, 2024 | mdpi.com | Andrei Mihalea |Adina Florea |Adina Magda

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
A Virtual Case Presentation Platform: Protocol Study

Mar 8, 2024 | mdpi.com | Adina Florea |Adina Magda |Imad Alex Awada |Imad Alex

1. IntroductionAccording to Sir William Osler, “The art of the practice of medicine is to be learned only by experience, ‘tis not an inheritance; it cannot be revealed. Learn to see, learn to hear, learn to feel, learn to smell and know that by practice alone can you become expert.” [1]. Therefore, medical theoretical courses are accompanied by different clinical activities.
A Review of Generative Adversarial Networks for Computer Vision Tasks

Feb 9, 2024 | mdpi.com | Adina Florea |Adina Magda |Ana-Maria Simion

All articles published by MDPI are made immediately available worldwide under an open access license. No specialpermission is required to reuse all or part of the article published by MDPI, including figures and tables. Forarticles published under an open access Creative Common CC BY license, any part of the article may be reused withoutpermission provided that the original article is clearly cited. For more information, please refer tohttps://www.mdpi.com/openaccess.
Self-Supervised Steering and Path Labeling for Autonomous Driving

Oct 15, 2023 | mdpi.com | Andrei Mihalea |Robert-Florian Samoilescu |Adina Florea |Adina Magda

1. IntroductionDriving a vehicle is a difficult task that requires complex reasoning and visual perception. The high level of stochasticity in the environment structure and dynamics leads to an intractable state space for traditional robotics trajectory planning approaches; thus, developing a system that can drive safely and can generalize to a wide variety of environmental setups remains an open problem.