Correntropy-Based Improper Likelihood Model for Robust Electrophysiological Source Imaging

no code implementations • 27 Aug 2024 • Yuanhao Li, Badong Chen, Zhongxu Hu, Keita Suzuki, Wenjun Bai, Yasuharu Koike, Okito Yamashita

Hence the conventional Gaussian likelihood model is a suboptimal choice for the real-world source imaging task.

Bayesian Inference Miscellaneous +1

Milestones in Autonomous Driving and Intelligent Vehicles Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors

no code implementations • 12 May 2023 • Long Chen, Yuchen Li, Chao Huang, Yang Xing, Daxin Tian, Li Li, Zhongxu Hu, Siyu Teng, Chen Lv, Jinjun Wang, Dongpu Cao, Nanning Zheng, Fei-Yue Wang

Our work is divided into 3 independent articles and the first part is a Survey of Surveys (SoS) for total technologies of AD and IVs that involves the history, summarizes the milestones, and provides the perspectives, ethics, and future research directions.

Autonomous Driving Ethics +1

Milestones in Autonomous Driving and Intelligent Vehicles: Survey of Surveys

no code implementations • 30 Mar 2023 • Long Chen, Yuchen Li, Chao Huang, Bai Li, Yang Xing, Daxin Tian, Li Li, Zhongxu Hu, Xiaoxiang Na, Zixuan Li, Siyu Teng, Chen Lv, Jinjun Wang, Dongpu Cao, Nanning Zheng, Fei-Yue Wang

Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace due to the convenience, safety, and economic benefits.

Autonomous Driving Ethics +1

Decision Making for Connected Automated Vehicles at Urban Intersections Considering Social and Individual Benefits

no code implementations • 5 Jan 2022 • Peng Hang, Chao Huang, Zhongxu Hu, Chen Lv

To address the coordination issue of connected automated vehicles (CAVs) at urban scenarios, a game-theoretic decision-making framework is proposed that can advance social benefits, including the traffic system efficiency and safety, as well as the benefits of individual users.

Decision Making

Driving Conflict Resolution of Autonomous Vehicles at Unsignalized Intersections: A Differential Game Approach

no code implementations • 5 Jan 2022 • Peng Hang, Chao Huang, Zhongxu Hu, Chen Lv

To realize human-like driving and personalized decision-making, driving aggressiveness is first defined for AVs.

Autonomous Vehicles Decision Making

A Marker-free Head Tracker Using Vision-based Head Pose Estimation with Adaptive Kalman Filter

no code implementations • 24 Mar 2021 • Zhongxu Hu, Chen Lv, Yanxin Zhou, Yiran Zhang, Wenhui Huang

To handle the error of the head pose estimation model, this paper proposes an adaptive Kalman Filter.

Head Pose Estimation Position

Decision Making of Connected Automated Vehicles at An Unsignalized Roundabout Considering Personalized Driving Behaviours

no code implementations • 14 Mar 2021 • Peng Hang, Chao Huang, Zhongxu Hu, Yang Xing, Chen Lv

To improve the safety and efficiency of the intelligent transportation system, particularly in complex urban scenarios, in this paper a game theoretic decision-making framework is designed for connected automated vehicles (CAVs) at unsignalized roundabouts considering their personalized driving behaviours.

Decision Making Model Predictive Control +1

Deep Convolutional Neural Network-based Bernoulli Heatmap for Head Pose Estimation

no code implementations • 24 May 2020 • Zhongxu Hu, Yang Xing, Chen Lv, Peng Hang, Jie Liu

This paper proposes a novel Bernoulli heatmap for head pose estimation from a single RGB image.

Head Pose Estimation