Generating Synthetic Scenarios to Test an AI-Enabled Traffic Measurement System

Project manager
Markus Borg
Period
2022-04-01 - 2022-08-31

Traffic is complex! It is the sum of road design, road user behavior, and their interactions. Understanding this dynamic is central to making the transport system efficient, safe, and sustainable — in line with the UN Sustainable Development Goals 11 and 3. Viscando offers Al-enabled data-driven solutions for traffic analysis, safety diagnostics, intelligent traffic control, naturalistic data collection, and extended perception at the very core of smart cities and autonomous driving. This is enabled by Viscando’s proprietary AI- and stereo vision-based infrastructure sensor OTUS3D, which is used for collection of accurate traffic movement data.

Software quality assurance (QA) must evolve as systems increasingly rely on AI. Building on initial work on simulation-based testing, we will develop evolutionary algorithms to generate test scenarios in CARLA that stress OTUS3D to its limits. As part of the project's results, we will develop a digital model of an intersection in Lindholmen. The project's results will support development of robust measurement systems for smart city and autonomous driving applications.

Short facts

Project title: Generating Synthetic Scenarios to Test an AI-Enabled Traffic Measurement System
Project type:
Research area:
Safety performance evaluation
Period:
-

Safer – Vehicle and Traffic Safety Centre

SAFER is the open research arena where researchers and expertise work together to create safe mobility. Our traffic safety approach covers people, vehicles and the infrastructure – and together we contribute to safer road transports and smarter, more sustainable cities.

Contact information

SAFER

Lindholmspiren 3A
SE-417 56 Göteborg
Sweden

 +46 31-772 21 06
 safer [at] chalmers.se