This Software is written at CARRS-Q to run research studies for autonomous driving vehicles, with focus on AES Level 3.
Dr. Ronald Schroeter | QUT
r.schroeter@qut.edu.au
Michael A. Gerber | QUT
michaelandreas.gerber@hdr.qut.edu.au
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
- Nvidia GTX1080 or better
- SSD or NVMe (~ 10GB per scenario, if local 20GB )
- 8GB RAM
- Windows 10
- VR-Mode requires Oculus Rift
- HDMI Video Capture Card - (HDMI to USB3)
- Compile with Unity 2017
- Install NPM and NodeJS
- Run CDN (If not installed, install dependencies with
npm install) - Check config-file for Simulator in
/ADS Simulator_Data/StreamingAssets/node-config.xml - Run ADS Simulator
- Choose Simulator-Type (top left)
If the config files contains
node type: master | slave (Cluster Master, VR | Cluster Slave)
node screen: 1 - 5 rendered Camera
node debug: 0 | 1 (OFF|ON) for Cluster
server ip: IP.v4 (IP of Cluster Master)
server port: PORTNR (Port of Cluster Master)
cdn address: HTTP ADDRESS of CDN (with Port)
hdmi video: Name of Video Capture device (Hardware name)
hdmi audio: Name of Audio Capture device (Hardware name)
setup side: left|right (Drive on left or right side of the road)
Apache 2.0