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CSCS 2022 Conference

Computer Science in Cars Symposium
8th December 2022.
Technische Hochschule Ingolstadt.

This is the 6th ACM COMPUTER SCIENCE IN CARS SYMPOSIUM – (CSCS 2022) is ACM’s flagship Car IT event and we welcome you to CSCS 2022.

With this conference, we would like to bring together the likes of scientists, engineers, business representatives, and everyone who shares a passion for solving the myriad of complex problems of in-vehicular technology and its application in automation, driver/vehicular safety, and driving system security. While continuous developments make way in all the mentioned areas, we need a common platform to discuss and present ground-breaking ideas in these exciting fields together. Along with the presentation of papers for research in these fields, we also present opportunities for networking amongst individuals to promote brainstorming on problems and to create new designs and solutions.

Conference Theme

`Artificial Intelligence and Security for Autonomous Vehicles` is a very important research area due to the current drive in making vehicles fully autonomous i.e without a human safety operator behind the wheel in specified operating areas of public road traffic in its regular form of operation. This means the computer will be responsible for handling the driving in certain conditions or environments making this topic very challenging and important for ensuring safe operations of driverless vehicles.

It is no secret that both, the technology and automotive giants have vested interest and large investments to make this technology commonplace. With advancements in this technology happening at so many different sources it can get hard to keep up with the state-of-the-art or what improved since the last ride. Whether it is a record-breaking achievement of the world’s first “fully autonomous” taxi service or a new algorithm for better tracking object movement at night, the place to discuss and learn would be CSCS.

Conference Program

TimeTitleSpeaker
08:00Registration
08:45Opening & WelcomeBjörn Brücher (General Chair), Prof. Hans-Joachim Hof (Local Host), Prof. Christoph Krauß (Program Chair)
09:00Keynote - Adaptable and Scalable Machine Perception for Autonomous DrivingDr. Dengxin Dai (Senior Researcher at the MPI for Informatics)
09:45Increasing pedestrian detection performance through weighting of detection impairing factorsKorbinian Hagn (Intel)*; Oliver Grau (Intel)
10:05SynPeDS: A Synthetic Dataset for Pedestrian Detection in Urban Traffic ScenesThomas Stauner (BMW AG)*; Frederik Blank (Bosch); Michael Fürst (DFKI); Johannes Günther (Intel Deutschland GmbH); Korbinian Hagn (Intel); Philipp Heidenreich (Opel Automobile GmbH); Markus Huber (Accenture); Bastian Knerr (QualityMinds); Thomas Schulik (ZF); Karl Leiss (BIT-TS)
10:25Break & Poster Session
10:55Keynote - Probabilistic and Machine Learning Approaches for Autonomous Robots and Automated DrivingProf. Wolfram Burgard (Professor of Robotics and Artificial Intelligence at the University of Technology Nuremberg)
11:40Evaluation of Level 2 Automated Driving Artificial Intelligence Readiness in Simulated ScenariosDavid Tena-Gago (University of the West of Scotland)*; Jose M. Alcaraz-Calero (University of the west of Scotland); Qi Wang (University of the west of Scotland)
12:00Predictive Uncertainty Quantification of Deep Neural Networks using Dirichlet DistributionsAhmed Hammam (Opel Automobile GmbH)*; Frank Bonarens (Opel Automobile Gmbh/ Stellantis N.V.); Seyed Eghbal Ghobadi (THM); Christoph Stiller ( Institute of Measurement and Control Systems, Karlsruhe Institute of Technology (KIT) )
12:20Lunch
13:20Keynote - How to defend connected intelligent vehicles: Transferring established Information Security best practices to the vehicular worldJan Lange (Senior Defensive Security Expert at CARIAD SE)
14:05Challenges and Directions for Automated Driving SecurityDavid Förster (Robert Bosch GmbH); Thomas Bruckschlögl (Robert Bosch GmbH); Jason Omer (Robert Bosch GmbH)*; Tom Schipper (Robert Bosch GmbH)
14:25Systematic evaluation of automotive intrusion detection datasetsThomas Rosenstatter (RISE Research Institutes of Sweden)*; Nishat I Mowla (RISE Research Institutes of Sweden); Arash Vahidi (RISE Research Institutes of Sweden)
14:45Break & Poster Session
15:15More Secure Collaborative APIs resistant to Flush-Based Cache Attacks on Cortex-A9 Based Automotive SystemJingquan Ge (Continental-NTU Corporate Lab)*; Yuekang Li (Continental-NTU Corporate Lab); Yaowen Zheng (Continental-NTU Corporate Lab); Yang Liu (Nanyang Technology University, Singapore); Sheikh Mahbub Habib (Continental Automotive Technologies GmbH)
15:35Steering Your Car With Electromagnetic FieldsOliver Pöllny (Mercedes-Benz AG)*; Frank Kargl (Universität Ulm); Albert Held (Was with Mercedes-Benz AG, now retired)
15:55Analysis of the DoIP Protocol for Security VulnerabilitiesPatrick Wachter (Mercedes-Benz Tech Innovation); Stephan Kleber (Mercedes-Benz Tech Innovation)*
16:15A Data Protection-Oriented System Model Enforcing Purpose Limitation for Connected MobilitySarah Syed-Winkler (Continental Automotive Technologies); Sebastian Pape (Continental Automotive Technologies)*; Ahmad Sabouri (Continental Automotive Technologies)
16:35Break & Poster Session
17:05Lightweight Privacy-Preserving Ride-Sharing Protocols for Autonomous CarsSara Ramezanian (University of Helsinki)*; Gizem Akman (University of Helsinki); Mohamed Taoufiq Damir (University of Helsinki); Valtteri Niemi (University of Helsinki)
17:25Combined Safety and Cybersecurity Testing Methodology for Autonomous Driving AlgorithmsAndrew J Roberts (Tallinn University of Technology)*; Mohsen Malayjerdi (Tallinn University of Technology); Ehsan Malayjerdi (Tallinn University of Technology); Olaf Maennel (Tallinn University of Technology)
17:45Closing & Get TogetherBjörn Brücher (General Chair), Prof. Hans-Joachim Hof (Local Host), Prof. Christoph Krauß (Program Chair)

Conference Location

The conference will be held in room G011. You can find the location with the plan below, and by following the signposts at the venue. A detailed venue map, with information about parking and public transport is available on the “Venue“-page.

Keynotes Speakers

We are proud to announce our this year’s keynote speakers!

Prof. Wolfram Burgard

Prof. Wolfram Burgard

Wolfram Burgard is a Professor of Robotics and Artificial Intelligence at the University of Technology Nuremberg. Before this, he was a Professor for Autonomous Intelligent Systems at the University of Freiburg and also Vice President for Automated Driving Technology at the Toyota Research. His areas of interest lie in artificial intelligence and mobile robots. His research mainly focuses on the development of robust and adaptive techniques for robot state estimation and control.

Dr. Dengxin Dai

Dr. Dengxin Dai

Dengxin Dai is a Senior Researcher at the MPI for Informatics, heading the research group Vision for Autonomous Systems. In 2016, he obtained his Ph.D. in Computer Vision at ETH Zurich and has been a group leader from 2016 to 2021 working on autonomous driving. His research interests lie in autonomous driving, robust perception in adverse weather and illumination conditions, domain adaptation, sensor fusion, multi-task learning, and object recognition under limited supervision. He has been area chair of multiple major computer vision conferences (e.g. CVPR21, CVPR22, ECCV22), has organized multiple international workshops, is on the Editorial Board of IJCV, and is an ELLIS member. His team has won multiple awards including the 1st Place at Waymo Open Dataset Challenge 2022 and the 2nd Place at nuScenes Tracking Challenge 2021. He has received the Golden Owl Award at ETH Zurich in 2021 for his exceptional teaching.

Jan Lange

Jan Lange

Jan Lange is a Senior Defensive Security Expert at CARIAD SE, a Volkswagen Group Company. He is currently focused on building an end-to-end solution for defensive security operations spanning both the vehicle fleet and connected backend systems, bringing much needed defensive security capabilities into the automotive world. Before joining CARIAD in January 2021 he worked for 5 years in the insurance industry for Allianz Deutschland’s Incident Response and Vulnerability Management teams, one of Germany’s largest companies. Parallel to his employment at Allianz he completed his master’s degree in IT Security, focusing on memory forensics in his thesis and contributing to the Volatility memory analysis framework. He is a committed member of the Blue Team by heart and is supporting CARIAD’s vision to build the most secure mobility products.

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