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Drd. Ing. Bogdan Trasnea
Transilvania University of Brasov

Ing. Bogdan Trasnea recieved the Dipl.-Eng. Degree in Control Engineering and Computer Science from the Transilvania University of Brasov, Romania, in 2014. In the same year he joined the Robotics, Vision and Control Laboratory, as a researcher. In July 2016 he finished studying Advanced Systems in Automation and Information Technologies at the Faculty of Electrical Engineering and Computer Science , and obtained his master's degree. In 2017 he started his PhD in the autonomous driving domain.

Since 2014: Researcher at the ROVIS Lab at the Institute of Automation, Transilvania University of Brasov, Romania.
Since 5 August, 2013: Software Engineer - Driver Assistance Domain, Elektrobit Automotive Romania.
October 2010 - 30 September 2014: Faculty of Electrical Engineering and Computer Science, Transilvania University of Brasov, Diploma Engineer (graduated second of the 2014 promotion).
October 2014 - July 2016: Faculty of Electrical Engineering and Computer Science, Transilvania University of Brasov, Master's degree.
October 2017 - Present: Transilvania University of Brasov, PhD Student.

Research interests

Robust Machine Vision
Traffic signs recognition
Path planning

Publications

S. Grigorescu, B.Trasnea, T.T. Cocias, G. Macesanu, “A Survey of Deep Learning Techniques for Autonomous Driving”, Journal Of Field Robotics, DOI: 10.1002/rob.21918, 2019

B. Trasnea, C.Pozna, S. Grigorescu, " AIBA: An AI Model for Behavior Arbitration in Autonomous Driving" Multi-disciplinary Trends in Artificial Intelligence, p.191, DOI: 10.1007/978-3-030-33709-4

S.M. Grigorescu T. Bogdan M. Liviu V. Andrei and C. Tiberiu "NeuroTrajectory: A Neuroevolutionary Approach to Local State Trajectory Learning for Autonomous Vehicles" IEEE Robotics and Automation Letters Oct. 2019

Awards

2014: 1st place at the Students Scientific Session, for the work "Robust filtering techniques used in the detection and classification of objects of interest, in traffic video sequences".
2015: 1st place at the Students Scientific Session, for the work "Robust method of detecting achromatic traffic signs, by using the Discrete Fourier Transform.".

Traffic signs recognition