The Mobility Optimized by Traditional Ideas and Frontiers (MOTIF) Lab at the University of South Florida, led by Prof. Hao Zhou, conducts cutting-edge research at the intersection of self-driving technologies, electric vehicles, and generative AI.
The lab vision is to cultivate a synergy between classical transportation theories and emerging AI technologies to advance and transform transportation mobility.
Recent News
Check out our github group for our latest projects and publications.
2025-01:
We have released OpenLKA, the first dataset for Lane Keeping Assist evaluation.
2024-08:
Yuhang Wang and Shengming Yuan joined MOTIF lab as GRA and PhD students.
2024-05:
Aziz joined MOTIF lab as master student and assisted with the summer data collection activities.
2024-05:
MOTIF lab kicked off a large-scale data collection of a wide range of market cars using rental cars at Tampa. The resulting datasets include the OpenLKA dataset, the CAN-level vehicle control dynamics dataset, and the EV regenerative braking dataset. .
2023-08:
Dr. Hao Zhou joined USF as a tenure-track assistant professor in Transportation Engineering at the department of Civil and Environmental Engineering