CARRS-Q ADS Driving Simulator

This Software is written at CARRS-Q to run research studies for autonomous driving vehicles,
with focus on AES Level 3.

Questions regarding the research to:

Dr. Ronald Schroeter | QUT
r.schroeter@qut.edu.au
Michael A. Gerber | QUT
michaelandreas.gerber@hdr.qut.edu.au

Technical questions to

gerberm@qut.edu.au

Publications

Gerber, M. A., Schroeter, R., & Vehns, J. (2019). A Video-Based Automated Driving Simulator for Automotive UI Prototyping, UX and Behaviour Research. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. Presented at the International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Utrecht, Netherlands. https://doi.org/10.1145/3342197.3344533

Schroeter, R., & Gerber, M. A. (2018). A Low-Cost VR-Based Automated Driving Simulator for Rapid Automotive UI Prototyping. Adjunct Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 248–251. https://doi.org/10.1145/3239092.3267418

Requirements

• Nvidia GTX1080 TI or better
• SSD or NVMe (~ 10GB per scenario, if local 20GB )
• 8GB RAM
• Windows 10
• VR-Mode requires Oculus Rift.
  (You can use others as well, but requires changes in Unity)
• HDMI Video Capture Card - (HDMI to USB3)

Content Creation

See ACM AutoUI ‘19 Paper to check Setup for content creation:
“A Low-Cost VR-Based Automated Driving Simulator for Rapid Automotive UI Prototyping”

Software

Find in this repository a compiled version to run on Windows (requires still CDN for the files)

Source:
Unity Driving Simulator Unity
NodeJS Content Delivery Network (required to run software)

Sample Scenario

A example scenario will be published here soon.

Licence

Apache 2.0