Contact
QR code for the current URL

Story Box-ID: 974712

IQPC GmbH Friedrichstrasse 94 10117 Berlin, Germany http://www.iqpc.de
Contact Ms Tetiana Tuermer +49 30 20913387
Company logo of IQPC GmbH
IQPC GmbH

3rd International Conference for Vehicle Intelligence

Sensor Fusion and Deep Learning for Autonomous Driving

(PresseBox) (Berlin, )
Running from 10 – 12 December 2019, the International Conference for Vehicle Intelligence will focus on improvement of deep learning algorithms and sensor fusion for autonomous vehicles with particular attention to their safety. Automotive industry professionals will come together to exchange knowledge, ideas and real-world strategies for the most reliable autonomous driving.

Autonomous driving is the future of automotive industry however many questions should be answered before this becomes true. How to properly apply deep learning models to LiDAR and other sensor technologies? Where to find enough data to train the algorithms and how to verify and validate them? What regulations will make autonomous driving safe? How to develop the right strategy for each level of autonomy?

With the agenda focused on deep learning and sensor fusion, this conference aims to enhance safety of autonomous vehicles. Automotive professionals will come together to discuss their experience and the main challenges in the field of sensor fusion and deep learning. Among many others, the event will address the following topics:
  • Strategies for bringing together sensor development and deep learning models applicable to both LIDAR and other sensor technologies
  • Conceptualizing reliable neural networks
  • Algorithms applicable for different automation levels and what possibilities one can get
  • Network capabilities for test and validation processing when it comes to big data
  • Software cycle for validation of computer vision algorithms and other important topics shaping autonomous driving right now!
Participate in interactive workshops and round tables with leading industry experts to discuss Machine Learning Approaches for Validating Parking Spaces, Sensor Fusion into Level 4 and 5 for Autonomous Driving, AI Personal Assistant in Automotive Industry and other topics shaping the Automotive industry right now.

This expert forum will bring together major players active in the automotive industry including Volvo, Valeo, MBition GmbH - Mercedes Benz Innovation Lab, Amazon, Deutsche Telekom and more.

Co-located with the Corrosion and Coating Technologies Conference

For more information and details concerning speakers and presentations visit:

http://bit.ly/2Z6wcbO

IQPC GmbH

IQPC und die Muttergesellschaft Penton Learning Systems (gegründet 1973) haben durch innovatives Wissensmanagement und interaktive Foren maßgeblich zum Erfolg von zahlreichen Unternehmen und Organisationen beigetragen. IQPC hat Niederlassungen in Berlin, Dubai, London, New York, Sao Paulo, Singapore, Stockholm und Sydney. IQPC`s internationale Präsenz verleiht sowohl eine "Globale Perspektive" als auch die Chance zur umfassenden Informationsgewinnung.

The publisher indicated in each case (see company info by clicking on image/title or company info in the right-hand column) is solely responsible for the stories above, the event or job offer shown and for the image and audio material displayed. As a rule, the publisher is also the author of the texts and the attached image, audio and information material. The use of information published here is generally free of charge for personal information and editorial processing. Please clarify any copyright issues with the stated publisher before further use. In case of publication, please send a specimen copy to service@pressebox.de.
Important note:

Systematic data storage as well as the use of even parts of this database are only permitted with the written consent of unn | UNITED NEWS NETWORK GmbH.

unn | UNITED NEWS NETWORK GmbH 2002–2024, All rights reserved

The publisher indicated in each case (see company info by clicking on image/title or company info in the right-hand column) is solely responsible for the stories above, the event or job offer shown and for the image and audio material displayed. As a rule, the publisher is also the author of the texts and the attached image, audio and information material. The use of information published here is generally free of charge for personal information and editorial processing. Please clarify any copyright issues with the stated publisher before further use. In case of publication, please send a specimen copy to service@pressebox.de.