Twenty-five Years of Intelligent Computer Communication – A Personal Perspective
Abstract: During the last 25 years, the field of intelligent computer communication has advanced in leaps and bounds. During this talk, I will review the main drivers of change, while grounding my review in lessons learned while advancing the state of the art and bringing to market several AI technologies. I will also highlight some of the most prominent current trends.
BIO: An alumnus of Cluj, Daniel Marcu is a leading authority in Natural Language Processing and successful entrepreneur. He has (co-)authored an MIT Press book, more than 100 peer-reviewed articles, and 30 USPTO patents; and he transitioned advanced research concepts into commercial software used by more than 100 million people worldwide. He is a 2014 Fellow of the Association for Computational Linguistics for significant contributions to discourse parsing, summarization and machine translation and for kick starting the statistical machine translation industry.
A camera on wheels - The challenging way to operate vision algorithms in cars
Dr. Oliver Sbanski
Director Engineering Systems Vision
Robert Bosch GmbH
Abstract: Autonomous driving will be the next big thing in automotive industry and in mobility in general. Commodity functions like adaptive cruise control, lane keeping support, road sign recognition, parking and maneuvering, as well as automatic emergency braking and evasion have already been fused to higher level functions with more autonomy to do piloted driving functions. A key sensor to fulfill the growing demands of such functionalities is the video camera. No other sensor has such a broad base of information about the world the car is driving in. Powerful and complex algorithms are needed to gather all this information from the environment and select it as input for the functions. Of course these algorithms have to work as precise and robust as possible. But, the camera is mounted in a car, where it is moving all the time, mounted behind a distorting windshield, exposed to unpredictable scenarios under very different, fast changing illumination and visibility conditions. The presentation describes how a camera is "installed" in a car algorithmically, to compensate most of the named influences. This measures have to be taken to ensure best algorithmic performance of the machine videos algorithms for object detection, etc.. There are challenges to face and problems to solve, but the technology has already proven that it is ready to use and opens a wide range of functionalities - ending up in the dream of autonomous driving.
BIO: Dr. Oliver Sbanski studied Physics at the University of Würzburg, Germany, and finished 2001 with a PhD in Physical Chemistry. He joined Bosch in 2001 in the automotive business unit of active safety systems developing ABS/ESP SW & algorithms. As project leader and section manager for customer projects he coordinated the SW development of a virtual team distributed over four different continents. In 2011, he took over the responsibility as director of video based driver assistance systems development, and since then also has implemented a specific Bosch video development team within Bosch, Cluj-Napoca. Being a key sensor towards the Bosch vision of "safe, agile and automated driving for everyone", the Bosch video camera and it's leading edge computer vision algorithms already today contribute significantly to comfortable and injure-free driving.