Artificial intelligence is fundamental to the advancement of autonomous driving systems. This research explores the core Artificial Intelligence technologies, including machine learning and computer vision, that enable vehicles to perceive their environment, make decisions and navigate safely.
The World Academy of Autonomous Driving Sciences, WAADS, investigates the challenges and future directions in developing robust and reliable Artificial Intelligence for fully autonomous vehicles. Headquarter is at: Hungarian Academy of Engineering, Budapest, Hungary.
The founder and president of the World Academy: WAADS
Gyula Mester, Professor
University of Szeged, Hungary
Orcid ID: 0000-0001-7796-2820
Members:
Jianbing Shen, Professor
University of Macau, China.
Orcid ID: 0000-0002-4343-623X
Shai Shalev-Shwartz, Professor,
The Hebrew University, Israel
Orcid ID: 0000-0002-4893-2910
Jay Xiao, CEO of Tensor,
Researcher, USA,
Orcid ID:
Public body members:
Predrag Dasic,
Academician, Serbia
Orcid ID: 0000-0002-9242-274X
Dániel Tokody, researcher
Óbuda University, Budapest,Hungary Orcid ID: 0000-0002-9984-0434
Boris Dumnic Profesor,
University of Novi Sad,Serbia
Orcid ID: 0000-0002-1846-1986
Jelena Pisarov, Researcher
University of Novi Sad,Serbia
Orcid ID: 0000-0003-2757-9780
Sergiy Kovalevskyy, Professor
State Engineering Academy, Ukraina
Orcid ID: 0000-0002-4708-4091
Dalma Zilahy, Researcher
Óbuda University
Budapest, Hungary
Orcid ID: 0000-0001-9614-5498
Berek László, Researcher
Óbuda University
Budapest, Hungary
Orcid ID: 0000-0002-4126-1528
Cesar Bautista, Researcher
Óbuda University
Budapest, Hungary
Orcid ID: 0000-0002-1906-6961
Janos Santa, Researcher
Secretary of the
of the World Academy: WAADS
Szeged, Hungary
Orcid ID: 0009-0002-3014-8295
AUTONOMOUS DRIVING RESEARCH GROUP 