Event Series: ika-Meetup Automated Driving
In this event series, up-to-date research topics relevant to practical applications in the field of automated driving will be presented and discussed.
|Event location||Seminarraum S206, Institute for Automotive Engineering (ika)
Steinbachstraße 7, 52074 Aachen
|Organizer||Institute for Automotive Engineering (ika)|
Dr. Adrian Zlocki, Head of Area - Driver Assistance
Telephone: +49 241 80 25616
Thursday, August 9, 2018
ika-Meetup Automated Driving: What´s next?
Neuronal networks are already being used in a multitude of ways in the processing of images with regard to perception of the environment. Mark Schutera will describe how these methods can be applied to already processed data in the form of objects. He will touch on the utilization of recurrent networks for the tracking of objects over time as a basis for automated driving functions. He will explain how sufficiently large-scale data sets are being produced for training of the networks and suitable parameter settings for the network structure subsequently can be set.
Mark Schutera is Doctorand in the field of Machine Learning in collaboration between ZF Friedrichshafen AG and the Institute for Automation and Applied Computer Science at the Karlsruhe Institute of Technology. He is concerned with the design of neuronal networks with a focus on recurrent neuronal networks and the prediction of time series data.
|Registration||Please register here.|
Thursday, September 6, 2018
ika-Meetup Automated Driving: Much to Learn, You Have
For automated vehicles' perception of surroundings, the semantic interpretation of scenes is of great importance. The automated vehicle must be able to perceive and understand its surroundings. Marius Cordts will explain the use of deep neuronal networks for efficient semantic segmentation of urban scenes in automated driving. He will expand on the relevance of various gateway modalities, such as depth, motion, or object detection, for the semantic segmentation of scenes for automated driving systems.
Dr. Marius Cordts is Principal Engineer in the department of Environment Perception at Daimler AG. He is concerned with the development and utilization of deep neuronal networks for processing image information and he is the creator of the well-known Cityscapes Dataset.
|Speaker||Dr. Marius Cordts, Daimler AG|
|Register||Please register here.|