SceNDD: A Scenario-based Naturalistic Driving Dataset

22 December 2022

Papers citing "SceNDD: A Scenario-based Naturalistic Driving Dataset"

4 / 4 papers shown

Title
A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook Mingyu Liu Ekim Yurtsever Jonathan Fossaert Xingcheng Zhou Walter Zimmer Yuning Cui B. L. Žagar Alois C. Knoll 56 36 0 02 Jan 2024
Impact, Attention, Influence: Early Assessment of Autonomous Driving Datasets Daniel Bogdoll Jonas Hendl Felix Schreyer Nisha S. Gowda Michael Färber J. Marius Zöllner 24 4 0 05 Jan 2023
Risk assessment and mitigation of e-scooter crashes with naturalistic driving data Avinash Prabu Zhengming Zhang Renran Tian Stanley Y. P. Chien Lingxi Li Yaobin Chen Rini Sherony 13 2 0 24 Dec 2022
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset Scott Ettinger Shuyang Cheng Benjamin Caine Chenxi Liu Hang Zhao ... Jiquan Ngiam Vijay Vasudevan Alexander McCauley Jonathon Shlens Drago Anguelov 143 531 0 20 Apr 2021