no code implementations • 24 Dec 2022 • Avinash Prabu, Zhengming Zhang, Renran Tian, Stanley Chien, Lingxi Li, Yaobin Chen, Rini Sherony
The goal is to quantitatively measure the behaviors of e-scooter riders in different encounters to help facilitate crash scenario modeling, baseline behavior modeling, and the potential future development of in-vehicle mitigation algorithms.
no code implementations • 22 Dec 2022 • Avinash Prabu, Lingxi Li, Brian King, Yaobin Chen
In particular, hidden Markov models are developed for the traffic lanes and speed change of vehicles on highway.
no code implementations • 22 Dec 2022 • Avinash Prabu, Niranjan Ravi, Lingxi Li
Lane-change maneuver has always been a challenging task for both manual and autonomous driving, especially in an urban setting.
no code implementations • 22 Dec 2022 • Avinash Prabu, Dan Shen, Renran Tian, Stanley Chien, Lingxi Li, Yaobin Chen, Rini Sherony
As one of the most popular micro-mobility options, e-scooters are spreading in hundreds of big cities and college towns in the US and worldwide.
no code implementations • 22 Dec 2022 • Avinash Prabu, Renran Tian, Lingxi Li, Jialiang Le, Srinivasan Sundararajan, Saeed Barbat
The results show the needs and design of a different number of cameras to fully or partially cover all the occupants with changeable configurations of up to six seats.