2nd ACM Computer Science in Cars Symposium (CSCS 2018)

Conference Program and Papers Keynote Speakers Conference Comittee


cc-by-nc-nd (Frank Fujimoto)

The symposium took place in Munich, Germany — in proximity to the European Conference on Computer Vision as a satellite event. 


Industry, as well as academia, have made great advances working towards an overall vision of fully autonomous driving. Despite the success stories, great challenges still lie ahead of us to make this grand vision come true. On the one hand, future systems have to be yet more capable to perceive, reason and act in complex real-world scenarios. On the other hand, these future systems have to comply with our expectations for robustness, security and safety.  ACM, as the world’s largest computing society, addresses these challenges with the ACM Computer Science in Cars Symposium. This conference provides a platform for industry and academia to exchange ideas and meet these future challenges jointly. The focus of the 2018 conference lies on AI & Security for Autonomous Vehicles. Contributions centered on these topics are invited.


Submission of contributions are invited in (but not limited to) the following key areas:


September 13th: Security

Responsibility Sensitive Safety
Jack Weast, Chief Systems Architect for Automated Driving Solutions, Intel (abstract/biography)
12:15Spotlight presentations of extended abstracts in Security

A Cognitive Assistant for Route Selection Using Knowledge Heuristics
Dan Cunnington, Geeth de Mel

Threading frameworks analysis with respect of production requirements, such as FuSa/ISO 26262
Maxym Dmytrychenko, Ilya Burylov

DRiVERSITY – Synthetic Torture Tests to Find Limits of Autonomous Driving Algorithms
Daniel Frassinelli, Alessio Gambi, Stefan Nürnberger, Sohyeon Park
12:45Lunch & Poster
14:15Oral Session: Security Evaluation of Autonomous Vehicles

Attacker Model for Connected and Autonomous Vehicles
Jean-Philippe Monteuuis, Jonathan Petit, Jun Zhang, Houda Labiod, Stefano Mafrica, Alain Servel

CyberSecurity Evaluation of Automotive E/E Architectures
Martin Ring,  Davor Frkat, Martin Schmiedecker
15:00Coffee break
15:30Oral Session: Security for CAN

CAN Obfuscation by Randomization (CANORa) – A technology to prevent large scale malware attacks on autonomous vehicles
Tobias Madl, Jasmin Brückmann, Hans-Joachim Hof

Towards Viable Intrusion Detection Methods For The Automotive Controller Area Network
Andrew Tomlinson, Jeremy Bryans, Siraj Shaikh

A Survey on Media Access Solutions for Controller Area Network Penetration Testing
Enrico Pozzobon, Nils H Weiss, Sebastian Renner, Rudolf Hackenberg
16:30Keynote talk: The art of cyber security orchestration (abstract/biography)
Dr. Thomas Wollinger since 2007 Managing Director ESCRYPT GmbH.
17:30Drinks & Reception

All dates are UTC+1 / CET

September 14th: AI

Responsibility Sensitive Safety
Jack Weast, Chief Systems Architect for Automated Driving Solutions, Intel (abstract/biography)
10:00Oral Session: AI Safety

AutoRVO: Local Navigation with Dynamic Constraints in Dense Heterogeneous Traffic
Yuexin Ma, Dinesh Manocha, Wenping Wang

Sequential Attacks on Agents for Long-Term Adversarial Goals
Edgar Tretschk, Seong Joon Oh, Mario Fritz
10:45Coffee Break
11:15Oral Session: AI Sensing

Real Time Single Image Dehazing and Soil Removal Using CNNs
Wajahat Akhtar, Sergio Roa Ovalle

Classification of LIDAR Sensor Contaminations with Deep Neural Networks
Jyothish Karakkaparambil James, Vladislav Golyanik, Georg Puhlfürst
12:00Spotlight presentations of extended abstracts in AI

Taking advantage of sensor modality specific properties in Automated Driving
Christian Haase-Schuetz

Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty
Apratim Bhattacharyya, Mario Fritz, Bernt Schiele

Long-range obstacle detection from a monocular camera
Muhammad Abdul Haseeb, Danijela Ristic-Durrant, Axel Gräser

Automated Scene Flow Data Generation for Training and Verification
Oliver Wasenmüller, René Schuster, Didier Stricker,  Karl Leiss, Jürgen Pfister, Oleksandra Ganus, Julian Tatsch, Artem Savkin, Nikolas Brasch

Dense Scene Flow from Stereo Disparity and Optical Flow
René Schuster, Oliver Wasenmüller, Didier Stricker

Risk Averse Robust Adversarial Reinforcement Learning
Xinlei Pan, John Canny
12:45Lunch & Posters
14:00Keynote Talk: Learning to Drive by Learning to See
Andreas Geiger, University of Tübingen, Max Planck Institue for Intelligent Systems (abstract/biography)
15:00Keynote Talk (remote): A future with affordable self-driving vehicles
Raquel Urtasun, Uber ATG, Vector Institute, University of Toronto (abstract/biography)
15:45Coffee Break
16:15Panel Discussion
Georg Kuschk, Group Leader Machine Learning, Astyx GmbH
Karl Leiss, CEO, Bit-TS
Christoph Sorge, Professor Legal Informatics, UdS
Christoph Stiller, Professor MRT, KIT
Shervin Raafatnia, AI Validation Engineer, Bosch
Oliver Wasenmüller, Moderator
15:00Closing Remarks

All dates are UTC+1 / CET

Keynote Speakers

Conference Committee

General Chair

Program Chairs

Organizing Committee

Confirmed Program Committee

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