Searched for: author%3A%22Lu%2C+Chao%22
(1 - 8 of 8)
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Li, Zirui (author), Gong, Cheng (author), Lin, Yunlong (author), Li, G. (author), Wang, Xinwei (author), Lu, Chao (author), Wang, Miao (author), Chen, Shanzhi (author), Gong, Jianwei (author)
Modelling, predicting and analysing driver behaviours are essential to advanced driver assistance systems (ADAS) and the comprehensive understanding of complex driving scenarios. Recently, with the development of deep learning (DL), numerous driver behaviour learning (DBL) methods have been proposed and applied in connected vehicles (CV) and...
review 2023
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Yi, Yangtian (author), Lu, Chao (author), Wang, Boyang (author), Cheng, Long (author), Li, Z. (author), Gong, Jianwei (author)
Accurate recognition of driver behaviours is the basis for a reliable driver assistance system. This paper proposes a novel fusion framework for driver behaviour recognition that utilises the traffic scene and driver gaze information. The proposed framework is based on the graph neural network (GNN) and contains three modules, namely, the...
journal article 2023
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Li, Z. (author), Lin, Yunlong (author), Cheng, Gong (author), Wang, X. (author), Liu, Qi (author), Gong, Jianwei (author), Lu, Chao (author)
Precisely modeling interactions and accurately predicting trajectories of surrounding vehicles are essential to the decision-making and path-planning of intelligent vehicles. This paper proposes a novel framework based on ensemble learning to improve the performance of trajectory predictions in interactive scenarios. The framework is termed...
conference paper 2022
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He, Xianqi (author), Yang, Lin (author), Lu, Chao (author), Gong, Jianwei (author), Li, Z. (author)
In urban environments, the complex and uncertain intersection scenarios are challenging for autonomous driving. To ensure safety, it is crucial to develop an adaptive decision making system that can handle the interaction with other vehicles. Manually designed model-based methods are reliable in common scenarios. But in uncertain environments,...
conference paper 2022
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Zheng, Fangfang (author), Li, Jie (author), van Zuylen, H.J. (author), Lu, Chao (author)
All drivers have individual ways of driving. Still, there are groups of drivers with more or less similar characteristics. In this research, 28 drivers from Chengdu city (P.R. China) participated in an experiment where car following behaviour was measured with GPS devices. In every measured trip there was a leading and following vehicle both...
journal article 2019
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Gui, Tao (author), Zhou, Gai (author), Lu, Chao (author), Lau, Alan Pak Tao (author), Wahls, S. (author)
The recently proposed b-modulation method for nonlinear Fourier transform-based fiber-optic transmission offers explicit control over the duration of the generated pulses and therewith solves a longstanding practical problem. The currently used b-modulation however suffers from a fundamental energy barrier. There is a limit to the energy of...
journal article 2018
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Zheng, F. (author), Liu, Xiaobo (author), van Zuylen, H.J. (author), Li, Jie (author), Lu, Chao (author)
The importance of travel time reliability in traffic management, control, and network design has received a lot of attention in the past decade. In this paper, a network travel time distribution model based on the Johnson curve system is proposed. The model is applied to field travel time data collected by Automated Number Plate Recognition ...
journal article 2017
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Zheng, Fangfang (author), Li, Jie (author), van Zuylen, H.J. (author), Lu, Chao (author)
Fuel consumption and atmospheric pollution emissions of vehicles depend on driving conditions, the characteristics of the driver and the car. The influence of driving style on the environmental aspects of a car journey has been investigated. Driver characteristics were determined by a Driver Behaviour Questionnaire and observed acceleration...
journal article 2017
Searched for: author%3A%22Lu%2C+Chao%22
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