Project

GeoScenario was created in the Waterloo Intelligent Systems Engineering Lab (WISE Lab) as a part of the Autonomoose collaboration (GeoScenario1) and as part of WISE Automated Driving System and UW Moose (GeoScenario 2). Autonomoose was the first Canadian-built ADS to be tested on public roads in Canada in August 2018.

GeoScenario1 was implemented as part of WISE Sim, a custom simulator based on Unreal Engine 4. GeoScenario1 was used for scenario-based testing of Autonomoose and it continues to be used for testing WISE ADS today.

GeoScenario2 was developed to address the limitations of GeoScenario1 and to allow for specifying complex behaviors of simulated vehicles and pedestrians. GeoScenario2 is implemented in GeoScenario Server (see GitHub repository, project website), which supports standalone scenario execution, as well as, co-simulation with WISE Sim and Carla simulators.

GeoScenario contributors:

WISE Lab | University of Waterloo, Canada:

• Rodrigo Queiroz rqueiroz@uwaterloo.ca
• Divit Sharma dsharma@uwaterloo.ca
• Scott Larter scott.larter@uwaterloo.ca
• Krzysztof Czarnecki krzysztof.czarnecki@uwaterloo.ca
• Michał Antkiewicz michal.antkiewicz@uwaterloo.ca
• Marko Ilievski marko.ilievski@uwaterloo.ca

Ruhr-Universität Bochum, Germany:

• Thorsten Berger thorsten.berger@rub.de

Chalmers University of Technology, Sweden:

• Sergio García gsergio@chalmers.se

Gran Sasso Science Institute, Italy:

• Ricardo Diniz Caldas ricardo.caldas@gssi.it
• Patrizio Pelliccione patrizio.pelliccione@gssi.it

We are happy to accept contributions from the community by reporting bugs, ideas for new features, code and tool contributions, or sharing scenarios built with GeoScenario. Use the issues section on our GitHub repository or send us an email: rqueiroz@uwaterloo.ca.