SAE International Journal of Connected and Automated Vehicles
2022 Special Issue: Autonomy and Connectivity at the Edge—Autonomous Racing JRN-CA-SI-06

Volume 5, Issue 1, 2022

All articles in this special issue have been carefully selected to cover critical aspects of autonomous racing and how this emerging field advances autonomous driving overall.

Daniel Watzenig, Graz University of Technology and Virtual Vehicle Research Center, Austria
Johannes Betz, University of Pennsylvania, USA

The SAE International Journal of Connected and Automated Vehicles furthers the state of the art of engineering research by promoting high-quality theoretical and applied investigations in the arena of connected and autonomous vehicles (CAVs) in on-road, off-road, and aerial operational environments.

All articles in the special issue contribute to the emerging field of autonomous racing and the ways in which it pushes the physical and algorithmic boundaries of autonomous driving. Researchers develop both hardware and software to operate an autonomous vehicle to stretch its limits: high speeds, high acceleration, low computation times—and with everything done fully autonomously. Demonstrating high-speed autonomous racing can be considered an immense challenge for self-driving cars, and progress in this area has the potential to enable breakthroughs in agile and safe autonomy. This special issue on autonomous racing provides an overview of current and emerging technological challenges in selected fields and gives insights into the industrial requirements.

Article Titles:

- A Formally Verified Fail-Operational Safety Concept for Automated Driving
- FSOCO: The Formula Student Objects in Context Dataset
- Threading the Needle—Overtaking Framework for Multi-Agent Autonomous Racing
- Optimization-Based Real-Time-Capable Energy Strategy for Autonomous Electric Race Cars
- A Combined LiDAR-Camera Localization for Autonomous Race Cars
- The Autonomous Racing Software Stack of the KIT19d
- Worsening Perception: Real-Time Degradation of Autonomous Vehicle Perception Performance for Simulation of Adverse Weather Conditions
- Control Challenges for High-Speed Autonomous Racing: Analysis and Simulated Experiments