Search Results - "Wang, Huaji"

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  1. 1

    Driver Activity Recognition for Intelligent Vehicles: A Deep Learning Approach by Xing, Yang, Lv, Chen, Wang, Huaji, Cao, Dongpu, Velenis, Efstathios, Wang, Fei-Yue

    Published in IEEE transactions on vehicular technology (01-06-2019)
    “…Driver decisions and behaviors are essential factors that can affect the driving safety. To understand the driver behaviors, a driver activities recognition…”
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    Journal Article
  2. 2

    Driver Lane Change Intention Inference for Intelligent Vehicles: Framework, Survey, and Challenges by Xing, Yang, Lv, Chen, Wang, Huaji, Wang, Hong, Ai, Yunfeng, Cao, Dongpu, Velenis, Efstathios, Wang, Fei-Yue

    Published in IEEE transactions on vehicular technology (01-05-2019)
    “…Intelligent vehicles and advanced driver assistance systems (ADAS) need to have proper awareness of the traffic context, as well as the driver status since…”
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    Journal Article
  3. 3

    Vehicle dynamic state estimation: state of the art schemes and perspectives by Guo, Hongyan, Cao, Dongpu, Chen, Hong, Lv, Chen, Wang, Huaji, Yang, Siqi

    Published in IEEE/CAA journal of automatica sinica (01-03-2018)
    “…Next-generation vehicle control and future autonomous driving require further advances in vehicle dynamic state estimation. This article provides a concise…”
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    Journal Article
  4. 4

    Advances in Vision-Based Lane Detection: Algorithms, Integration, Assessment, and Perspectives on ACP-Based Parallel Vision by Xing, Yang, Lv, Chen, Chen, Long, Wang, Huaji, Wang, Hong, Cao, Dongpu, Velenis, Efstathios, Wang, Fei-Yue

    Published in IEEE/CAA journal of automatica sinica (01-05-2018)
    “…Lane detection is a fundamental aspect of most current advanced driver assistance systems &#x0028 ADASs &#x0029. A large number of existing results focus on…”
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    Journal Article
  5. 5

    Identification and Analysis of Driver Postures for In-Vehicle Driving Activities and Secondary Tasks Recognition by Yang Xing, Chen Lv, Zhaozhong Zhang, Huaji Wang, Xiaoxiang Na, Dongpu Cao, Velenis, Efstathios, Fei-Yue Wang

    “…Driver decisions and behaviors regarding the surrounding traffic are critical to traffic safety. It is important for an intelligent vehicle to understand…”
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    Journal Article
  6. 6

    Characterization of Driver Neuromuscular Dynamics for Human-Automation Collaboration Design of Automated Vehicles by Lv, Chen, Wang, Huaji, Cao, Dongpu, Zhao, Yifan, Auger, Daniel J., Sullman, Mark, Matthias, Rebecca, Skrypchuk, Lee, Mouzakitis, Alexandros

    Published in IEEE/ASME transactions on mechatronics (01-12-2018)
    “…In order to design an advanced human-automation collaboration system for highly automated vehicles, research into the driver's neuromuscular dynamics is…”
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    Journal Article
  7. 7

    Analysis of autopilot disengagements occurring during autonomous vehicle testing by Lv, Chen, Cao, Dongpu, Zhao, Yifan, Auger, Daniel J., Sullman, Mark, Wang, Huaji, Dutka, Laura Millen, Skrypchuk, Lee, Mouzakitis, Alexandros

    Published in IEEE/CAA journal of automatica sinica (01-01-2018)
    “…In present-day highly-automated vehicles, there are occasions when the driving system disengages and the human driver is required to take-over. This is of…”
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    Journal Article
  8. 8

    Fixed-Time Aircraft Spin Recovery Control Based on a Nonsingular Integral Terminal Sliding Mode Approach by Wang, Huaji, Wang, Xunnian, Zhu, Zhenglong, Yan, Lai, Yang, Yu

    Published in Applied sciences (01-03-2024)
    “…This paper introduces a control strategy to recover from various spin motions to level trim flight conditions, utilizing a fixed-time nonsingular terminal…”
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    Journal Article
  9. 9

    An Orientation Sensor-Based Head Tracking System for Driver Behaviour Monitoring by Zhao, Yifan, Görne, Lorenz, Yuen, Iek-Man, Cao, Dongpu, Sullman, Mark, Auger, Daniel, Lv, Chen, Wang, Huaji, Matthias, Rebecca, Skrypchuk, Lee, Mouzakitis, Alexandros

    Published in Sensors (Basel, Switzerland) (22-11-2017)
    “…Although at present legislation does not allow drivers in a Level 3 autonomous vehicle to engage in a secondary task, there may become a time when it does…”
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    Journal Article
  10. 10

    Investigation on crack propagation properties of flange-stiffened plate structure in a sleeve by Lian, Qinglin, Wang, Huaji, Ren, Xiaowei, Fan, Xiaochen, Li, Dingshi, Zhao, Jinbiao, Ju, Long, Zhang, Guodong

    “…A 3D FE model has been developed to investigate the crack propagation properties of flange-stiffened plate structure in a sleeve used for loading transition,…”
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    Journal Article
  11. 11

    An ensemble deep learning approach for driver lane change intention inference by Xing, Yang, Lv, Chen, Wang, Huaji, Cao, Dongpu, Velenis, Efstathios

    “…•An ensemble Bi-directional LSTM model is proposed for driver intention inference.•Driver lane change intention can be precisely predicted before the acutal…”
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    Journal Article
  12. 12

    Combined Hierarchical Learning Framework for Personalized Automatic Lane-Changing by Zhu, Bing, Han, Jiayi, Zhao, Jian, Wang, Huaji

    “…There have been explosive developments in automatic driving in recent years. Several kinds of self-driving vehicles have been introduced, but drivers are…”
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    Journal Article
  13. 13

    An Integrated GNSS/UWB/DR/VMM Positioning Strategy for Intelligent Vehicles by Zhu, Bing, Tao, Xiaowen, Zhao, Jian, Ke, Min, Wang, Huaji, Deng, Weiwen

    Published in IEEE transactions on vehicular technology (01-10-2020)
    “…Intelligent vehicle positioning is an enabling technology for decision-making, trajectory planning, and motion control, and is a key technology in intelligent…”
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    Journal Article
  14. 14

    Learning Driver-Specific Behavior for Overtaking: A Combined Learning Framework by Lu, Chao, Wang, Huaji, Lv, Chen, Gong, Jianwei, Xi, Junqiang, Cao, Dongpu

    Published in IEEE transactions on vehicular technology (01-08-2018)
    “…Learning-based methods have gained increasing attention in the intelligent vehicle community for developing highly autonomous vehicles and advanced driving…”
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    Journal Article
  15. 15

    Driver workload estimation using a novel hybrid method of error reduction ratio causality and support vector machine by Xing, Yang, Lv, Chen, Cao, Dongpu, Wang, Huaji, Zhao, Yifan

    “…•The contribution of physiological and vehicle measures to workload is quantified.•Seven measures that have high contribution to explain workload are…”
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    Journal Article
  16. 16

    Report on a Rare Case of Limited CD4/CD8 Double-Positive Paget Reticulosis with Literature Review by Zhang, Yunfang, Zhang, Ming, Li, Yuan, Wang, Huaji

    “…Restricted pagetoid reticulosis, also known as Woringer-Kolopp disease, represents a rare cutaneous lymphoproliferative disorder categorized as an isolated…”
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    Journal Article
  17. 17

    Characterisation of driver neuromuscular dynamics for haptic take-over system design for automated vehicles by Chen Lv, Huaji Wang, Dongpu Cao, Yifan Zhao, Auger, Daniel J., Sullman, Mark, Matthias, Rebecca, Skrypchuk, Lee, Mouzakitis, Alexandros

    “…In order to develop an advanced haptic take-over system for highly automated vehicles, research into the driver's neuromuscular dynamics is needed. In this…”
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    Conference Proceeding
  18. 18

    A Systems Engineering Framework and Application to an Open Automated Driving Platform by Emmerich, Otto, Wang, Huaji, Garcia, Guillermo, Pezzulla, Ilaria, Darlington, Alexander, Gao, Bo

    “…Automated driving (AD) has been widely recognised as the future of transportation, especially the level-4 AD defined by SAE J3016 with its promising…”
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    Conference Proceeding
  19. 19

    Control algorithms of anti-rollover for heavy duty vehicle based on PID by Zhixin Yu, Changfu Zong, Huaji Wang

    Published in World Automation Congress 2012 (01-06-2012)
    “…The control algorithms based on TTR threshold were researched using a 3DOF simplify model in order to establish an effective way of alert and control for heavy…”
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    Conference Proceeding
  20. 20

    A Novel Control Framework of Haptic Take-Over System for Automated Vehicles by Lv, Chen, Mouzakitis, Alexandros, Wang, Huaji, Cao, Dongpu, Zhao, Yifan, Sullman, Mark, Auger, Daniel J., Brighton, James, Matthias, Rebecca, Skrypchuk, Lee

    “…Autonomous driving presents an exciting new development in vehicle technology. It poses a new challenge in driver-automation collaboration particularly during…”
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    Conference Proceeding