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Browsing by Author "Cao, Dongpu"

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Advances in vision-based lane detection: algorithms, integration, assessment, and perspectives on ACP-based parallel vision

Xing, Yang; Lv, Chen; Chen, Long; Wang, Huaji; Wang, Hong; Cao, Dongpu; Velenis, Efstathios; Wang, Fei-Yue (IEEE, 2018-05-01)

Lane detection is a fundamental aspect of most current advanced driver assistance systems (ADASs). A large number of existing results focus on the study of vision-based lane detection methods due to the extensive knowledge ...
Analysis of autopilot disengagements occurring during autonomous vehicle testing

Lv, Chen; Cao, Dongpu; Zhao, Yifan; Auger, Daniel J.; Sullman, Mark; Wang, Huaji; Millen Dutka, Laura; Skrypchuk, Lee; Mouzakitis, Alexandros (IEEE, 2017-12-20)

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 great importance to a vehicle U+02BC s safety and ride comfort. In ...
Characterization of driver neuromuscular dynamics for human-automation collaboration design of automated vehicles

Lv, Chen; Wang, Huaji; Cao, Dongpu; Zhao, Yifan; Auger, Daniel J.; Sullman, Mark; Matthias, Rebecca; Skrypchuk, Lee; Mouzakitis, Alexandros (IEEE, 2018-03-05)

In order to design an advanced human-automation collaboration system for highly automated vehicles, research into the driver's neuromuscular dynamics is needed. In this paper a dynamic model of drivers' neuromuscular ...
CogEmoNet: A cognitive-feature-augmented driver emotion recognition model for smart cockpit

Li, Wenbo; Zeng, Guanzhong; Zhang, Juncheng; Xu, Yan; Xing, Yang; Zhou, Rui; Guo, Gang; Shen, Yu; Cao, Dongpu; Wang, Fei-Yue (IEEE, 2021-11-30)

Driver's emotion recognition is vital to improving driving safety, comfort, and acceptance of intelligent vehicles. This article presents a cognitive-feature-augmented driver emotion detection method that is based on ...
Cyber-physical system based optimization framework for intelligent powertrain control

Lv, Chen; Wang, Hong; Zhao, Bolin; Cao, Dongpu; Huaji, Wang; Zhang, Junzhi; Li, Yutong; Yuan, Ye (Society of Automotive Engineers, 2017-03-28)

The interactions between automatic controls, physics, and driver is an important step towards highly automated driving. This study investigates the dynamical interactions between human-selected driving modes, vehicle ...
Driver activity recognition for intelligent vehicles: a deep learning approach

Xing, Yang; Lv, Chen; Wang, Huaji; Cao, Dongpu; Velenis, Efstathios; Wang, Fei-Yue (IEEE, 2019-04-01)

Driver decisions and behaviors are essential factors that can affect the driving safety. To understand the driver behaviors, a driver activities recognition system is designed based on the deep convolutional neural networks ...
Driver anomaly quantification for intelligent vehicles: a contrastive learning approach with representation clustering

Hu, Zhongxu; Xing, Yang; Gu, Weihao; Cao, Dongpu; Lv, Chen (IEEE, 2022-03-30)

Driver anomaly quantification is a fundamental capability to support human-centric driving systems of intelligent vehicles. Existing studies usually treat it as a classification task and obtain discrete levels for ...
Driver distraction detection using machine learning algorithms – an experimental approach

Zhang, Zhaozhong; Velenis, Efstathios; Fotouhi, Abbas; Auger, Daniel J.; Cao, Dongpu (Inderscience, 2021-05-08)

Driver distraction is the leading cause of accidents that contributes to 25% of all road crashes. In order to reduce the risks posed by distraction, warning must be given to the driver once distraction is detected. According ...
Driver lane change intention inference for intelligent vehicles: framework, survey, and challenges

Xing, Yang; Lv, Chen; Wang, Huaji; Wang, Hong; Ai, Yunfeng; Cao, Dongpu; Velenis, Efstathios; Wang, Fei-Yue (IEEE, 2019-03-06)

Intelligent vehicles and advanced driver assistance systems (ADAS) need to have proper awareness of the traffic context as well as the driver status since ADAS share the vehicle control authorities with the human driver. ...
Driver lane change intention inference using machine learning methods.

Xing, Yang (2018-04)

Lane changing manoeuvre on highway is a highly interactive task for human drivers. The intelligent vehicles and the advanced driver assistance systems (ADAS) need to have proper awareness of the traffic context as well as ...
Driver workload estimation using a novel hybrid method of error reduction ratio causality and support vector machine

Xing, Yang; Lv, Chen; Cao, Dongpu; Wang, Huaji; Zhao, Yifan (Elsevier, 2017-10-04)

Measuring driver workload is of great significance for improving the understanding of driver behaviours and supporting the improvement of advanced driver assistance systems technologies. In this paper, a novel hybrid method ...
Driving style recognition for intelligent vehicle control and advanced driver assistance: a survey

Marina Martinez, Clara; Heucke, Mira; Wang, Fei-Yue; Gao, Bo; Cao, Dongpu (IEEE, 2017-07-04)

Driver driving style plays an important role in vehicle energy management as well as driving safety. Furthermore, it is key for advance driver assistance systems development, toward increasing levels of vehicle automation. ...
Dual-envelop-oriented moving horizon path tracking control for fully automated vehicles

Guo, Hongyan; Liu, Jun; Cao, Dongpu; Chen, Hong; Yu, Ru; Lv, Chen (Elsevier, 2017-02-14)

A novel description of dual-envelop-oriented path tracking issue is presented for fully automated vehicles which considers shape of vehicle as inner-envelop (I-ENV) and feasible road region as outer-envelop (O-ENV). Then ...
Effect of handling characteristics on minimum time cornering with torque vectoring

Smith, Edward N.; Velenis, Efstathios; Tavernini, Davide; Cao, Dongpu (Taylor and Francis, 2017-09-12)

In this paper, the effect of both passive and actively-modified vehicle handling characteristics on minimum time manoeuvring for vehicles with 4-wheel torque vectoring (TV) capability is studied. First, a baseline optimal ...
Energy management in plug-in hybrid electric vehicles: recent progress and a connected vehicles perspective

Marina Martinez, Clara; Hu, Xiaosong; Cao, Dongpu; Velenis, Efstathios; Gao, Bo; Wellers, Matthias (IEEE, 2017-06-16)

Plug-in hybrid electric vehicles (PHEVs) offer an immediate solution for emissions reduction and fuel displacement within the current infrastructure. Targeting PHEV powertrain optimization, a plethora of energy management ...
An ensemble deep learning approach for driver lane change intention inference

Xing, Yang; Lv, Chen; Wang, Huaji; Cao, Dongpu; Velenis, Efstathios (Elsevier, 2020-04-23)

With the rapid development of intelligent vehicles, drivers are increasingly likely to share their control authorities with the intelligent control unit. For building an efficient Advanced Driver Assistance Systems (ADAS) ...
Evaluation of optimal yaw rate reference for closed-loop electric vehicle torque vectoring

Smith, Edward N.; Tavernini, Davide; Velenis, Efstathios; Cao, Dongpu (Unknown, 2016-09-30)

This work evaluates the intrinsic contribution of the yaw rate reference to the overall handling performance of an electric vehicle with torque vectoring control - in terms of minimum-time manoeuvring. A range of yaw ...
Hazard-evaluation-oriented moving horizon parallel steering control for driver-automation collaboration during automated driving

Guo, Hongyan; Song, Linhuan; Liu, Jun; Wang, Fei-Yue; Cao, Dongpu; Chen, Hong; Lv, Chen; Luk, Patrick Chi-Kwong (IEEE, 2018-08-14)

Prompted by emerging developments in connected and automated vehicles, parallel steering control, one aspect of parallel driving, has become highly important for intelligent vehicles for easing the burden and ensuring the ...
High-precision hydraulic pressure control based on linear pressure-drop modulation in valve critical equilibrium state

Lv, Chen; Wang, Hong; Cao, Dongpu (IEEE, 2017-09-11)

High precision and fast response are of great significance for hydraulic pressure control in automotive braking systems. In this paper, a novel sliding mode control based high-precision hydraulic pressure feedback modulation ...
Human-machine collaboration for automated driving using an intelligent two-phase haptic interface

Lv, Chen; Li, Yutong; Xing, Yang; Huang, Chao; Cao, Dongpu; Zhao, Yifan; Liu, Yahui (Wiley, 2021-02-12)

Prior to realizing fully autonomous driving, human intervention is periodically required to guarantee vehicle safety. This poses a new challenge in human–machine interaction, particularly during the control authority ...

Browsing by Author "Cao, Dongpu"

Browsing by Author "Cao, Dongpu"

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