Projects relevant to Current graduate students

Current projects

What is WISE Drive?

WISE Drive is a framework for analyzing and specifying driving behavior requirements on ADS-operated vehicles. Other uses include

We are implementing a simulator for WISE Automated Driving System (ADS). The simulator is based on UnrealEngine 4.19.

 

WiseMove is a modular safe deep reinforcement learning framework for motion planning, combining hierarchical learning and temporal logic constraints.

The project is hosted at git.uwaterloo.ca/wise-lab/wise-move.

Completed projects

"Autonomoose" is a collaboration between WISE Lab and WAVE Lab to build the University of Waterloo's self-driving research platform. The result is the "UW Moose": the first self-driving car built in Canada to drive on public roads.

See a video of our first automated drive on public roads in Waterloo in Dec 2017.

See a video of our 100 km public drive in Waterloo in Aug 2018.

For more information, visit the official website: http://autonomoose.net

Clafer is a lightweight structural and behavioral modeling language.

More more information, visit the new official website: clafer.org

Abstract. In training deep neural networks for semantic segmentation, the main limiting factor is the low amount of ground truth annotation data that is available in currently existing datasets. The limited availability of such data is due to the time cost and human effort required to accurately and consistently label real images on a pixel level. Modern sandbox video game engines provide open world environments where traffic and pedestrians behave in a pseudo-realistic manner. This caters well to the collection of a believable road-scene dataset.

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Projects by status

Opportunities

We are looking for postdocs and graduate students interested in working on all aspects of autonomous driving.

For more information, visit Open positions.