Mcity Augmented Reality Testing Environment Development – Phase II
Henry X. Liu, Yiheng Feng · Deep Blue (University of Michigan) · 2023
An augmented reality (AR) testing environment for connected and automated vehicle (CAV) testing and evaluation has beendeveloped and used for different demos and projects since 2017. In order to fully integrate the AR testing environment with Mcitytest facility, we further upgrade the system to be compatible with the new vehicle development and communication standard (i.e.,SAE J2735), including new functionalities, designing new testing scenarios, and supporting Mcity’s ABC CAV testing procedures. Mcity has installed four new RSUs which are compatible with 2016 revision of the standard, we upgraded the AR system to the2016 standard. Both the encoder and decoder of BSM and SPaT messages need to be upgraded, due to the different encoding rule(i.e., UPER) and data structure applied in the 2016 standard. A scenario library was built to facilitate Mcity’s ABC CAV testing procedure. The library now has 6 scenarios including basicinteractions at intersections, red-light violations, interactions with virtual train, and newly developed highway cursing, car following,roundabout mering, and signal priority for the CAV. The previous version of AR system only supports a fixed route of the CAV. In this project the newly surveyed high-definition map by CAV was used to rebuild the Mcity road network in the simulation so that the CAV supported flexible routing. Finally, the upgraded AR system was integrated with Mcity API and became one of the services that Mcity can provide to thecustomers. After the integration, the third parties were able to start, stop the AR system and check the running status through Mcity’sAPI. A new demo video includes all scenarios with a 3D view of traffic simulator, human machine interface (HMI) in the CAV,inside view of the CAV, front view of the CAV from the dash camera was recorded and created.