Projects & Datasets

Below are projects and datasets led or co-led from MOTIF Lab. Open datasets and code releases are listed alongside funded research projects so collaborators can find concrete artifacts as well as ongoing work. Reach out to the PI if you would like to collaborate on a related topic.

Active

OpenLKA: open dataset of lane keeping assist from market autonomous vehicles

· 2024-05

The first open dataset benchmarking production lane-keeping-assist (LKA) behavior across multiple market vehicles, with synchronized CAN, video, and perception data.

AI dashcam for post-hurricane roadway damage assessment

An AI dashcam that turns any ordinary vehicle into a roadway inspection platform — automatically detecting potholes, flooding, downed trees, and damaged signs so agencies can assess storm damage in hours instead of days.

Scale-CDA: democratizing AI-assisted cooperative driving automation for production cars

An open-hardware, open-software toolchain that retrofits ordinary production cars for generative-AI-assisted cooperative driving automation with under US $1,000 of off-the-shelf parts.

DoTPilot: an in-vehicle AI platform for transportation agency fleets

An open-source in-vehicle system that turns an agency's existing fleet into a two-way link with the traffic management center — collecting roadway condition data on the uplink and delivering agency advisories to drivers on the downlink, for both daily operations and disaster response.