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News

Media coverage, awards, papers, and milestones from the MOTIF Lab.

  • Oct 2026 Accepted paper

    Alina Hagen's street-view accessibility paper accepted to WACV 2027

    "Do VLMs See What Sensors Feel?" — an expert-guided design that scores wheelchair accessibility from Google Street View and checks it against GPS-derived wheelchair dwell behavior — will be presented at IEEE/CVF WACV 2027.

    Publication entryAlina Hagen arXiv ↗

  • Oct 2026 Accepted paper

    DriveMotion accepted to IEEE/CVF WACV 2027

    Our large-scale, multi-source benchmark for driver motion sequence modeling and forecasting will be presented at WACV 2027 in Lake Buena Vista, Florida (January 2027).

    DriveMotion project page arXiv ↗Hugging Face ↗

  • Oct 2026 Award

    CoRL 2026 Travel Award for "Observe Before You Alert"

    Yuhang Wang received a CoRL 2026 Travel Award for the VLAlert paper on adaptive driver alerting with vision–language models.

    VLAlert project page arXiv ↗

  • Sep 2026 Accepted paper

    Seven lab papers accepted for presentation at TRB 2027

    Five first-authored by Yuhang Wang — TriDrive (CockpitWM), Observe Before You Alert, BATON, Human Takeovers in Level-2 ADAS, and DriveDNA — plus two co-authored papers will be presented at the Transportation Research Board Annual Meeting in January 2027.

    TriDriveVLAlertBATONADAS-TODriveDNA

  • Sep 26, 2026 Preprint

    TriDrive: a real-time cockpit world model, now on arXiv

    TriDrive jointly forecasts driver kinematics, vehicle dynamics and road demands from one automation-conditioned transition model, runs at 5 Hz on a comma four, and was validated in a 14-participant on-road study.

    TriDrive project page arXiv ↗Hugging Face ↗

  • Sep 2026 Accepted paper

    "Observe Before You Alert" accepted to CoRL 2026

    VLAlert casts driver alerting as a tri-action policy — SILENT, OBSERVE, ALERT — and releases VLAlert-Bench: 13,534 videos and 192,892 labelled one-second ticks from six driving-event datasets.

    VLAlert project page arXiv ↗Hugging Face ↗

  • Sep 8, 2026 Preprint

    DriveMotion is on arXiv and Hugging Face

    A multi-source, skeleton-only benchmark for driver motion forecasting: 400 hours, 360 drivers, 133 keypoints at 10 Hz, released under CC BY 4.0 (gated).

    DriveMotion project page arXiv ↗Hugging Face ↗

  • Aug 21, 2026 Media

    USF News, FOX 13, and ABC7 Suncoast cover the lab's AI dashcam for post-hurricane road assessment

    Three Florida outlets reported on the lab's AI dashcam prototype, which automatically flags potholes, flooding, downed trees, and damaged signs so agencies can assess storm-damaged roads in hours instead of days — most recently ABC7 Suncoast, on the Sarasota County deployment.

    USF News ↗FOX 13 Tampa Bay ↗ABC7 Suncoast ↗

  • Aug 2026 Accepted paper

    Three papers accepted to IEEE ITSC 2026

    ADAS-TO, cut-in gap acceptance toward autonomous vs. human-driven vehicles, and a closed-loop multi-agent framework for passenger load estimation will be presented at the IEEE International Conference on Intelligent Transportation Systems 2026.

    ADAS-TO project pageCut-in gap acceptance (publication)

  • Aug 4, 2026 Preprint

    New preprint: Scale-CDA brings AI-assisted cooperative driving to production cars for under $1,000

    A new lab preprint introduces Scale-CDA, an open-hardware/open-software toolchain that retrofits ordinary production cars for generative-AI-assisted cooperative driving automation using off-the-shelf parts costing under US $1,000.

    arXiv ↗

  • Jul 26, 2026 Preprint

    DriveDNA: driving-style identification without the shortcuts

    4,121 drives from 465 pseudonymous drivers across 115 vehicle models (975 hours), with a benchmark built to separate driver behavior from vehicle, route and condition shortcuts.

    DriveDNA project page arXiv ↗Hugging Face ↗

  • May 10, 2026 Milestone

    MOTIF Lab website launched

    motiflab.net is live: research threads, team, publications and open datasets from the MOTIF Lab at the University of South Florida.

  • Apr 1, 2026 Preprint

    BATON: benchmarking bidirectional human–automation control transitions

    A multimodal benchmark of handovers and takeovers in naturalistic driving-automation routes; the July 2026 v2 reports 781 routes, 173 drivers and 204.9 hours, with a frozen benchmark of 565 routes and 3,593 events.

    BATON project page arXiv ↗Hugging Face ↗

  • Oct 2025 Accepted paper

    Three papers accepted for presentation at TRB 2026

    Including an empirical characterization of electric-vehicle acceleration and its implications for lane changes and bottleneck capacity, presented in Washington, D.C., in January 2026.

  • Jul 2025 Accepted paper

    "From OpenLKA to LKAlert" accepted at INFORMS 2025

    An abstract on moving from the OpenLKA dataset to predictive lane-keeping alerts was accepted to the INFORMS Annual Meeting 2025 (Intelligent Transportation Systems and Cybersecurity session) in Atlanta.

    OpenLKA project page

  • Jun 2025 Accepted paper

    OpenLKA accepted to IEEE ITSC 2025

    The open dataset of lane keeping assist from production vehicles under real-world driving conditions was presented at the IEEE International Conference on Intelligent Transportation Systems 2025 in Gold Coast, Australia.

    OpenLKA project page IEEE Xplore ↗arXiv ↗

  • Oct 2024 Accepted paper

    Extended abstract accepted for a poster at the Second USF AI + X Symposium

    An extended abstract from the lab on driving-automation data was accepted for a poster at the Second USF Artificial Intelligence + X Symposium (October 2024).

USF MOTIF Lab
  • Department of Civil and Environmental Engineering
  • Center for Urban Transportation Research (CUTR)

College of Engineering

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Hao Zhou, Assistant Professor
[email protected]
4202 E. Fowler Ave, Tampa, FL 33620

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