no code implementations • 20 Mar 2024 • Ruoxuan Bai, Jingxuan Yang, Weiduo Gong, Yi Zhang, QIUJING LU, Shuo Feng
The complexity of predicting criticality arises from the extreme data imbalance caused by rare events in high dimensional variables associated with the rare events, a challenge we refer to as the curse of rarity.
no code implementations • 29 Feb 2024 • Jingxuan Yang, Ruoxuan Bai, Haoyuan Ji, Yi Zhang, Jianming Hu, Shuo Feng
A common approach involves designing testing scenarios based on prior knowledge of CAVs (e. g., surrogate models), conducting tests in these scenarios, and subsequently evaluating CAVs' safety performances.
no code implementations • 2 Feb 2024 • Shu Li, Jingxuan Yang, Honglin He, Yi Zhang, Jianming Hu, Shuo Feng
To alleviate the considerable uncertainty inherent in a small testing scenario set, we frame the FST problem as an optimization problem and search for the testing scenario set based on neighborhood coverage and similarity.
1 code implementation • 3 Mar 2023 • Shuo Feng, Piji Li
To address this problem, we take advantage of the memorization effects of deep neural networks and a small amount of annotated data to get a model with much knowledge and a little noise, and then we use this model to relabel the ancient Chinese sentences in parallel corpus.
no code implementations • 1 Dec 2022 • Jingxuan Yang, Haowei Sun, Honglin He, Yi Zhang, Shuo Feng, Henry X. Liu
One prevailing way is to design testing scenarios using prior knowledge of CAVs, test CAVs in these scenarios, and then evaluate their safety performances.
no code implementations • 19 Jul 2022 • Jingxuan Yang, Honglin He, Yi Zhang, Shuo Feng, Henry X. Liu
To validate the proposed method, the high-dimensional overtaking scenarios are investigated, and the results demonstrate that our approach can further accelerate the evaluation process by about 30 times.
1 code implementation • 11 Jul 2022 • Yixiong Liang, Shuo Feng, Qing Liu, Hulin Kuang, Jianfeng Liu, Liyan Liao, Yun Du, Jianxin Wang
To mimic these behaviors, we propose to explore contextual relationships to boost the performance of cervical abnormal cell detection.
no code implementations • 5 Aug 2021 • Ling Zhang, Jian Cao, Yuan Zhang, Bohan Zhou, Shuo Feng
This method uses distillation to effectively avoid the weakness of STBP, which can achieve SOTA performance in classification, and can obtain a smaller, faster convergence and lower power consumption SNN reinforcement learning model.
no code implementations • 28 Apr 2021 • Huaxin Pei, Yuxiao Zhang, Yi Zhang, Shuo Feng
Cooperative driving at signal-free intersections, which aims to improve driving safety and efficiency for connected and automated vehicles, has attracted increasing interest in recent years.
no code implementations • 21 Apr 2021 • Huaxin Pei, Yi Zhang, Qinghua Tao, Shuo Feng, Li Li
Cooperative driving at isolated intersections attracted great interest and had been well discussed in recent years.
no code implementations • 6 Feb 2021 • Haowei Sun, Shuo Feng, Xintao Yan, Henry X. Liu
In this paper, a unified framework is proposed to generate corner cases for the decision-making systems.
no code implementations • 4 Feb 2021 • Lin Liu, Shuo Feng, Yiheng Feng, Xichan Zhu, Henry X. Liu
However, pre-determined BV trajectories can not react to the AV's maneuvers, and deterministic models are different from real human drivers due to the lack of stochastic components and errors.
1 code implementation • 8 Jan 2021 • Xintao Yan, Shuo Feng, Haowei Sun, Henry X. Liu
Microscopic traffic simulation provides a controllable, repeatable, and efficient testing environment for autonomous vehicles (AVs).
no code implementations • 8 Mar 2020 • Shuo Feng, Yiheng Feng, Haowei Sun, Yi Zhang, Henry X. Liu
A customized testing scenario library for a specific CAV model is generated through an adaptive process.
no code implementations • 9 May 2019 • Shuo Feng, Yiheng Feng, Haowei Sun, Shao Bao, Yi Zhang, Henry X. Liu
In Part I of this study, a general methodology for TSLG is proposed, and theoretical properties are investigated regarding the accuracy and efficiency of CAV evaluation.
no code implementations • 11 Mar 2014 • Qihui Wu, Guoru Ding, Yuhua Xu, Shuo Feng, Zhiyong Du, Jinlong Wang, Keping Long
Current research on Internet of Things (IoT) mainly focuses on how to enable general objects to see, hear, and smell the physical world for themselves, and make them connected to share the observations.