Search Results for author: Shuo Feng

Found 11 papers, 2 papers with code

Adaptive Testing for Connected and Automated Vehicles with Sparse Control Variates in Overtaking Scenarios

no code implementations19 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.

Exploring Contextual Relationships for Cervical Abnormal Cell Detection

1 code implementation11 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.

Distilling Neuron Spike with High Temperature in Reinforcement Learning Agents

no code implementations5 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.

reinforcement-learning

Optimal Cooperative Driving at Signal-Free Intersections with Polynomial-Time Complexity

no code implementations28 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.

Distributed Cooperative Driving in Multi-Intersection Road Networks

no code implementations21 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.

A Learning-based Stochastic Driving Model for Autonomous Vehicle Testing

no code implementations4 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.

Autonomous Vehicles

Distributionally Consistent Simulation of Naturalistic Driving Environment for Autonomous Vehicle Testing

1 code implementation8 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).

Autonomous Vehicles

Testing Scenario Library Generation for Connected and Automated Vehicles: An Adaptive Framework

no code implementations8 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.

Testing Scenario Library Generation for Connected and Automated Vehicles, Part II: Case Studies

no code implementations9 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.

Cognitive Internet of Things: A New Paradigm beyond Connection

no code implementations11 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.

Decision Making

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