3rd ACM COMPUTER SCIENCE IN CARS SYMPOSIUM – (CSCS 2019)
FUTURE CHALLENGES IN ARTIFICIAL INTELLIGENCE & SECURITY FOR AUTONOMOUS VEHICLES
Scope:
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 2019 conference lies on AI & Security for Autonomous Vehicles. Contributions centered on these topics are invited.
Topics:
Submission of contributions are invited in (but not limited to) the follow key areas:
Artificial Intelligence in Autonomous Systems: Sensing, perception & interaction are key challenges — inside and outside the vehicle. Despite the great progress, complex real-world data still poses great challenges towards reliable recognition and analysis in a large range of operation conditions. Latest Machine Learning and in particular Deep Learning techniques have resulted in high performance approaches that have shown impressive results on real-world data. Yet these techniques lack core requirements like interpretability.
Automotive Security for Autonomous driving: Autonomous cars will increase the attack surface of a car as they not only make decisions based on sensor information but also use information transmitted by other cars and infrastructure. Connected autonomous cars, together with the infrastructure and the backend systems of the OEM, constitute an extremely complex system, a so- called Automotive Cyber System. Ensuring the security of this system poses challenges for automotive software development, secure Car-to-x communication, security testing, as well as system and security engineering. Moreover, security of sensed information becomes another important aspect in a machine learning environment. Privacy enhancing technologies are another issue in automotive security, enforced by legislation, e.g., the EU General Data Protection Regulation. For widespread deployment in real-world conditions, guarantees on robustness and resilience to malicious attacks are key issues.
Evaluation & Testing: In order to deploy systems for autonomous and/or assisted driving in the real-world, testing and evaluation is key. Giving realistic and sound estimates – even in rare corner cases – is challenging. A combination of analytic as well as empirical methods is required
Program
08:45–09:00 AM
Opening
09:00–10:00 AM
Keynote: Jörn Eichler (FU Berlin and Volkswagen AG)
10:00 AM
Break
10:30–11:30 AM
Full Paper Session: AI, Evaluation and Testing
Robust Semantic Video Segmentation through Confidence-based Feature Map Warping Timo Saemann (Valeo); Karl Amende (Valeo); Stefan Milz (Valeo); Horst-Michael Groß (Ilmenau University of Technology, Neuroinformatics and Cognitive Robotics Lab) (pdf)
RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs Rohan Chandra (University of Maryland); Uttaran Bhattacharya (University of Maryland, College Park); Christian L. Roncal (University of Maryland); Aniket Bera (The University of North Carolina at Chapel Hill); Dinesh Manocha (University of Maryland, College Park) (pdf)
Limitations of HIL Test Architectures for Car2X Communication Devices and Applications Christina Obermaier (Technische Hochschule Ingolstadt); Raphael Riebl (Technische Hochschule Ingolstadt); Christian Facchi (Technische Hochschule Ingolstadt); Ali Al-Bayatti (De Montfort University); Sarmadullah Khan (De Montfort University) (pdf)
11:30
Lunch
12:30 PM
Keynote: Bernt Schiele (Max Planck Institute for Informatics)
1:30 PM
Extended Abstract Session: Spotlights
Toward Preserving User Privacy in Collected Visual Data of Autonomous Cars Arghavan Hosseinzadeh (Fraunhofer IESE); Masoud Naderpour (Fraunhofer IESE) (pdf) Big Automotive Data Preprocessing: A Three Stages Approach Amal Tawakuli (University of Luxembourg ); Daniel Kaiser (University of Luxembourg); Thomas Engel (University of Luxembourg) (pdf) Strategies for Safety Goal Decomposition for Neural Networks Gesina Schwalbe (Continental Automotive GmbH); Martin Schels (Continental Automotive GmbH) (pdf) SDC – Stacked Dilated Convolutions René Schuster (DFKI); Oliver Wasenmüller (DFKI); Christian Unger (BMW); Didier Stricker (DFKI) (pdf) Scene Coordinate Regression with Point Clouds for RGB Camera Relocalization Dehui Lin (German Research Center for Artificial Intelligence (DFKI)) (pdf) Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods Apratim Bhattacharyya (Max Planck Institute for Informatics); Mario Fritz (CISPA Helmholtz Center for Information Security); Bernt Schiele (MPI Informatics) (pdf) Model-based Security and Safety Assurance for Automotive Safety Systems Sanjana K Biank (Technische Hochschule Ingolstadt); Hans-Joachim Hof (Technical University of Ingolstadt); Werner Huber (Technische Hochsche Ingolstadt); Matthias Meyer (Technische Hochschule Ingolstadt); Thomas Hempen (Technische Hochschule Ingolstadt) (pdf) Interpretability Beyond Classification Output: Semantic Bottleneck Networks Max M Losch (Max Planck Institute for Informatics); Mario Fritz (CISPA Helmholtz Center for Information Security); Bernt Schiele (MPI Informatics) (pdf) Security Test Platform for Autonomous Driving Daniel Zelle (Fraunhofer SIT); Roland Rieke (Fraunhofer SIT); Christoph Krauss (Fraunhofer SIT (pdf) An Overview of the SVIRO Dataset and Benchmark Steve Dias Da Cruz (IEE S.A.); Oliver Wasenmüller (DFKI); Hans-Peter Beise (Trier University of Applied Sciences); Thomas Stifter (IEE S.A.); Didier Stricker (DFKI)) (pdf) Automized Scene Layout Generation Alexander Hanel (BIT Technology Solutions GmbH); Karl Leiss (BIT-TS) (pdf) Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain Jan-Aike Bolte (Technische Universität Braunschweig); Markus Kamp (Technische Universität Braunschweig); Antonia Breuer (Volkswagen Group Research); Silviu Homoceanu (Volkswagen Group Research); Peter Schlicht (Volkswagen Group Research); Fabian Hüger (Volkswagen Group Research); Daniel Lipinski (Volkswagen Group Research); Tim Fingscheidt ( Technische Universität Braunschweig (pdf) Online Map Validation for Autonomous Driving Andrea Fabris (BMW AG); Felix Drost (BMW AG); Luca Parolini (BMW AG); Qing Rao (BMW AG); Andreas Rauch (BMW AG); Sebastian Schneider (BMW AG); Sebastian Wagner (Technical University of Munich); Alois Knoll (Technical University of Munich) (pdf) An Adaptive Transport Management Approach using Imitation Learning Mark Bugeja (University of Malta); Alexiei Dingli (University of Malta); Maria Attard (University of Malta); Dylan Seychell (University of Malta) (pdf) Advantages of Physically Based Rendering for Autonomous Driving Validation Johannes Günther (Intel Deutschland GmbH); Oliver Grau (Intel Visual Computing Institute); Isha Sharma (Intel); Björn Brücher (Intel Deutschland GmbH)) (pdf) Towards Corner Cases Identification in Cyclist Trajectories Florian Heidecker (University of Kassel); Maarten Bieshaar (University of Kassel); Bernhard Sick (University of Kassel) (pdf)
AVES – Automated Vehicle Safety and Security Analysis Framework Giedre Sabaliauskaite (Singapore University of Technology and Design); Lin Shen Liew (Singapore University of Technology and Design); Fengjun Zhou (Singapore University of Technology and Design) (pdf)
Attribute-Based Credentials in High-Density Platooning Christian Zimmermann (Robert Bosch GmbH); Markus Sontowski (TU Dresden); Stefan Köpsell (TU Dresden) (pdf)
On Threat Analysis and Risk Estimation of Automotive Ransomware Nils H. Weiss (University of Applied Sciences Regensburg); Markus Schroetter (University of Applied Sciences Regensburg); Rudolf Hackenberg (University of Applied Sciences Regensburg) (pdf)
Context-aware Anomaly Detector for Monitoring Cyber Attacks on Automotive CAN Bus R Harsha K. Kalutarage (Robert Gordon University); Omar Al-Kadri (Robert Gordon University); Madeline Cheah (HORIBA-MIRA); Garikayi Madzudzo (HORIBA-MIRA) (pdf)
4:45pm
Keynote: Oliver Wasenmüller (DKFI)
5:15pm
Panel Discussion
6:00pm
Closing & Get Together
All dates are UTC+1 / CET
General Chair
Hans-Joachim Hof, Technical University of Ingolstadt, German Chapter of the ACM
Program Chairs
Mario Fritz, Helmholtz Center for Information Security (CISPA)
Christoph Krauß, Fraunhofer Institute for Secure Information Technology (SIT)
Oliver Wasenmüller, German Research Center for Artificial Intelligence (DFKI)
Organizing Committee
Bjoern Bruecher, Intel
Cornelia Denk, BMW, ACM SIGGRAPH Munich
Mario Fritz, Helmholtz Center for Information Security (CISPA)
Oliver Grau, Intel, ACM Europe Council
Hans-Joachim Hof, Technical University of Ingolstadt, German Chapter of the ACM
Oliver Wasenmüller, DFKI Kaiserslautern
Confirmed Program Committee
Zeynep Akata, University of Amsterdam
Bjoern Andres, University of Tübingen, Bosch Center for AI
Apratim Bhattacharyya, Max Planck Institute for Informatics
Chih-Hong Cheng, FORTISS
Markus Enzweiler, Daimler R&D
Flavio Garcia, University of Birmingham
Fabian Hüger, Volkswagen Group Research
Dieter Hutter, DFKI
Frank Kargl, Universität Ulm
Stefan Katzenbeisser, Uni Passau
Dennis Kengo Oka, Synopsys
Stefan Milz, Valeo
H. Gregor Molter, Porsche AG
Stefan Nuernberger, CISPA
Shervin Raafatnia, Bosch
Qing Rao, BMW Group
Bernt Schiele, Max Planck Institute for Informatics
Joachim Sicking, Fraunhofer IAIS
Timo van Roermund, NXP
André Weimerskirch, Lear Corporation
Shanshan Zhang, Nanjing University of Science and Technology
Keynote Speakers
Jörn Eichler, FU Berlin and Volkswagen AG
Bernt Schiele, Max Planck Institute for Informatics
