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Browsing by Author "Wang, Hong"

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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 ...
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 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. ...
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 ...
Recognizing driver braking intention with vehicle data using unsupervised learning methods

Xing, Yang; Lv, Chen; Huaji, Wang; Wang, Hong; Cao, Dongpu (SAE International, 2017-03)

Recently, the development of braking assistance system has largely benefit the safety of both driver and pedestrians. A robust prediction and detection of driver braking intention will enable driving assistance system ...

Browsing by Author "Wang, Hong"

Browsing by Author "Wang, Hong"

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