February 21, 2020
ACM CSCS 2020 4th ACM Computer Science in Cars Symposium (CSCS) Ingolstadt, Germany June 23rd, 2020 (Submissions due 27 March 2020) 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. The ACM Computer Science in Cars Symposium (CSCS) provides a platform for industry and academia to exchange ideas and meet these future challenges jointly.
For more information, please see https://acm-cscs.org/en/cscs-2020/call-for-participation/
The focus of the 2020 symposium is on Artificial Intelligence & Security for Autonomous Vehicles. Submission of contributions are invited in (but not limited to) the following 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 operating conditions. Latest Machine Learning and in particular Deep Learning techniques have resulted in high-performance approaches that have shown impressive results.
*Automotive Security for Autonomous driving Information technology enables connected autonomous vehicles and many new applications but also introduces new threats. For example, an attacker could manipulate safety-critical systems such as the braking system to endanger the live and limb of passengers and other road users.
An attacker could also try to generate movement or behavior profiles of the vehicle user. Thus, ensuring security and privacy is of paramount importance but poses several challenges. CSCS is a forum for discussing the latest developments in the context of security and privacy for autonomous vehicles and bringing together researchers and practitioners.