Semantic and Geometric Visual Perception:
organized by Technical University Cluj-Napoca in the framework of “DeepPerception - Deep Learning Based 3D Perception for Autonomous Driving” grant funded by Romanian Ministry of Education and Research, code PN-III-P4-PCE-2021-1134.
- Vlad Cristian Miclea, Improving Supervised Monocular Depth Estimation for Aerial Scenarios
- Lukács Elekes and Mihai Negru, Self-Supervised Keypoint Features Learning for Autonomous Driving Tasks
- Horatiu Florea, Current Trends in Self-Supervised Monocular Depth Estimation
- Radu Beche, Neural Radiance Fields in Environment Representation
Brainstorming On The Future Trends In Automated Driving Technology Development:
organized in the framework of “Self Driving Automobiles” technical committee of IEEE Intelligent Transportation Society and Intelligent Vehicles Commission of the Romanian Academy by Robert Bosch Engineering Center Cluj Romania, and Technical University of Cluj-Napoca,
Advancements in the realm of automated driving systems are constantly evolving. This workshop aims to illuminate the present and upcoming trends in the development of automated driving technology. It will serve as a platform for fruitful discussions and collaborations, fostering a dynamic exchange between academia and industry experts. The focus will be on exploring the forefront of research and the anticipated proliferation of mass-market automated driving solutions, offering insight into the exciting future of this field.
Robert Bosch Engineering Center Cluj-Napoca, Romania: Catalin Golban, Ştefan Mathe, Mihai Negru
INRIA Paris, France: Fawzi Nashashibi, Raoul de Charette
Orange: Razvan Mihai
UTCN, Romania: Sergiu Nedevschi, Radu Dănescu, Florin Oniga