1 code implementation • 3 Dec 2023 • Yung-chi Kung, Arthur Zhang, Junmin Wang, Joydeep Biswas
In this work, we propose a novel method of utilizing in-cabin and external camera data to improve state-of-the-art (SOTA) performance in predicting future driver actions.
no code implementations • 26 Apr 2022 • Yao Ma, Junmin Wang
A Gaussian Process Regression model is further trained, validated, and tested under different traffic and vehicle conditions to predict fuel consumption based on drivers' personalized behaviors.
no code implementations • 15 Jul 2020 • Junmin Wang, Calin Belta, Samuel A. Isaacson
We compare the behaviors of IFFLs to negative autoregulatory loops, another sign-sensitive response-accelerating network motif, and find that increasing retroactivity in a negative autoregulated circuit can only slow the response.