Workshop Name:
Deep Learning in Perception and Control - organized in the framework of the Project Integrated Semantic Visual Perception and Control for Autonomous Systems - SEPCA, grant funded by Romanian Ministry of Education and Research, code PN-III-P4-ID-PCCF-2016-0180, (2018-2022) and in the framework of the Horizon 2020 UP-Drive Project.


Sergiu Nedevschi, TUCN

Location: DoubleTree by Hilton Hotel Cluj – City Plaza, "Beijing" Room (5th floor)


This workshop represents an introduction in deep learning based solutions for autonomous systems. The workshop is based on the authors’ experience gain in several research projects carried out at TUCN dealing with perception and control tasks. The approached topics are deep learning based stereo reconstruction, object detection, panoptic segmentation, intent detection and slot filling and models interpretability.


  1. "Real-time Simultaneous Monocular Depth Estimation and Object Detection”, Vlad Miclea, Sergiu Nedevschi
  2. "Multi-task Network for Panoptic Segmentation in Self Driving Cars”, Andra Petrovai, Sergiu Nedevschi
  3. "A Deep Learning solution for Intent detection and slot filling", Anda Stoica, Tibor Kadar, Rodica Potolea, Mihaela Dinsoreanu, Camelia Lemnaru
  4. “Model Interpretability in Deep Learning”, Daniela Palcu, Marius Supuran, Mihaela Dinsoreanu, Camelia Lemnari, Rodica Potolea


Bosch Workshop Wokshop Name:
Bosch Students Workshop In Automated Driving
Catalin Golban, BOSCH

Location: DoubleTree by Hilton Hotel Cluj – City Plaza, "Beijing" Room (5th floor)


Video based driver assistance systems is a continuously growing field in automotive industry. Based on surround sensors such as radar, video and ultrasound, driver assistance systems sense and interpret the traffic scenes. They assist the driver in various driving situations and increase the driving comfort. In addition, driver assistance systems improve driving safety by supporting the driver in critical driving situations that require rapid and safe action. Gradually increasing performance will lead to automated driving solutions available in series cars in the upcoming years.

After an overview of Bosch activities in the video-based driver assistance systems and functions, the focus will be on a set of advanced video development topics .The workshop will present in detail and at tutorial level several advanced video algorithmic methods developed by Bosch R&D engineers in collaboration with students and researchers from Cluj universities in the last years, highlighting the importance of such methods in the context of the growing automated driving industry and showing the beauty and the challenges that appear when putting such methods on embedded hardware running in the car.


  1. "Introduction and Overview of the Research Topics in Bosch Engineering Center Cluj", Catalin Golban
  2. "Low Elevated Objects Detection for Autonomous Vehicles", Istvan Nagy
  3. "Compression of Convolutional Neural Networks by Filter Pruning", Csanad Sandor
  4. "Refraction Model Based Distortion Estimation for Video Sensors", Szabolcs Pavel
  5. "Video Based Road Condition Monitoring", Paolo Moldovan


PUB Workshop Wokshop Name:
Data Driven Robotic Intelligent Systems
Adina Magda Florea (PUB) and Rodica Potolea (TUCN)

Location: DoubleTree by Hilton Hotel Cluj – City Plaza, "Beijing" Room (5th floor)

Abstract: The famous phrase “_SCIENTIA POTENTIA EST_” can be rivaled nowadays
by the phrase “data is power.” Cheap data storage, fast processors
and advancements in data processing algorithms, for example those in
machine learning, have made it possible to extract enormous value fram

The workshop is conceived as a presentation and debate about how data
can be used and interpreted by intelligent robots that interact with
people in different context, such as social, assistive, task performing,
or robots that can replace people in doing some tasks, such as
manipulation or car driving. The workshop is organized in the framework
of the project “The Robots and the Society: Cognitive Systems for
Personal Robots and Autonomous Vehicles”, code

Robotics intelligent systems
Human-robot interaction
Data driven assistive robot programming
Data driven social robot programming
Robots for autonomous driving
Context oriented computing for robotic applications
Cloud, fog and edge robotics
Explainable robotic systems