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Dong, Y. (author), Lu, Xingmin (author), Li, Ruohan (author), Song, Wei (author), van Arem, B. (author), Farah, H. (author)The burgeoning navigation services using digital maps provide great convenience to drivers. However, there are sometimes anomalies in the lane rendering map images, which might mislead human drivers and result in unsafe driving. To accurately and effectively detect the anomalies, this paper transforms lane rendering image anomaly detection into...poster 2024
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Dong, Y. (author), Patil, Sandeep (author), Farah, H. (author), Hellendoorn, J. (author)Lane detection serves as a fundamental task for automated vehicles and Advanced Driver Assistance Systems. However, current lane detection methods can not deliver the versatility of accurate, robust, and realtime compatible lane detection in real-world scenarios especially under challenging driving scenes. Available vision-based methods in the...poster 2023
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Dong, Y. (author), Li, Ruohan (author), Farah, H. (author)Lane detection is crucial for vehicle localization which makes it the foundation for automated driving and many intelligent and advanced driving assistant systems. Available vision-based lane detection methods do not make full use of the valuable features and aggregate contextual information, especially <br/>the interrelationships between lane...poster 2023
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Zhang, Yu (author), Dong, Y. (author)The platform carrying capacity of urban rail transit stations is limited and overcrowding of the platform will lead to serious safety risks for passengers and trains. It is significant to collaborate on the optimization of passenger flow strategy and skip-stopping scheme to alleviate traffic pressure and ensure platform safety. This study...poster 2023
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Zhang, Lanxin (author), Dong, Y. (author), Farah, H. (author), Zgonnikov, A. (author), van Arem, B. (author)Detecting abnormal driving behavior is critical for road traffic safety and the evaluation of drivers' behavior. With the advancement of machine learning (ML) algorithms and the accumulation of naturalistic driving data, many ML models have been adopted for abnormal driving behavior detection. Most existing ML-based detectors rely on (fully)...poster 2023
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Zhang, Li (author), Dong, Y. (author), Farah, H. (author), van Arem, B. (author)The gradual deployment of automated vehicles (AVs) results in mixed traffic where AVs will interact with human-driven vehicles (HDVs). Thus, social-aware motion planning and control while considering interactions with HDVs on the road is critical for AVs’ deployment and safe driving under various maneuvers. Previous research mostly focuses on...poster 2023
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Li, Ruohan (author), Dong, Y. (author)Lane detection is crucial for vehicle localization which makes it the foundation for automated driving and many intelligent and advanced driving assistant systems. Available vision-based lane detection methods do not make full use of the valuable features and aggregate contextual information, especially the interrelationships between lane...journal article 2023
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Xue, Chaozhong (author), Dong, Y. (author), Liu, Jiaqi (author), Liao, Yijun (author), Li, Lingbo (author)Medical waste recycling and treatment has gradually drawn concerns from the whole society, as the amount of medical waste generated is increasing dramatically, especially during the pandemic of COVID-19. To tackle the emerging challenges, this study designs a reverse logistics system architecture with three modules, i.e., medical waste...conference paper 2023
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Zhang, Li (author), Dong, Y. (author), Farah, H. (author), van Arem, B. (author)The gradual deployment of automated vehicles (AVs) results in mixed traffic where AVs will interact with human-driven vehicles (HDVs). Thus, social-aware motion planning and control while considering interactions with HDVs on the road is critical for AVs' deployment and safe driving under various maneuvers. Previous research mostly focuses on...conference paper 2023
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Yuan, Henan (author), Li, Penghui (author), van Arem, B. (author), Kang, Liujiang (author), Farah, H. (author), Dong, Y. (author)Traffic scenarios in roundabouts pose substantial complexity for automated driving. Manually mapping all possible scenarios into a state space is labor-intensive and challenging. Deep reinforcement learning (DRL) with its ability to learn from interacting with the environment emerges as a promising solution for training such automated driving...conference paper 2023
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Dong, Y. (author), Datema, T. (author), Wassenaar, V. (author), van de Weg, J.J. (author), Kopar, C.T. (author), Suleman, H.I. (author)Developing and testing automated driving models in the real world might be challenging and even dangerous, while simulation can help with this, especially for challenging maneuvers. Deep reinforcement learning (DRL) has the potential to tackle complex decision-making and controlling tasks through learning and interacting with the environment,...conference paper 2023
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Dong, Y. (author), Chen, Kejia (author), Ma, Zhiyuan (author)Condition-based maintenance is becoming increasingly important in hydraulic systems. However, anomaly detection for these systems remains challenging, especially since that anomalous data is scarce and labeling such data is tedious and even dangerous. Therefore, it is advisable to make use of unsupervised or semi-supervised methods, especially...conference paper 2023
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Xue, Chaozhong (author), Dong, Y. (author), Liu, Jiaqi (author), Liao, Yijun (author), Li, Lingbo (author)With social progress and the development of modern medical technology, the amount of medical waste generated is increasing dramatically. The problem of medical waste recycling and treatment has gradually drawn concerns from the whole society. The sudden outbreak of the COVID-19 epidemic further brought new challenges. To tackle the challenges,...conference paper 2023
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Dong, Y. (author), Patil, Sandeep (author), Farah, H. (author), van Arem, B. (author)Reliable and accurate lane detection is of vital importance for the safe performance of Lane Keeping Assistance and Lane Departure Warning systems. However, under certain challenging peculiar circumstances (e.g., marking degradation, serious vehicle occlusion), it is quite difficult to get satisfactory performance in accurately detecting the...poster 2022
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Dong, Y. (author), Patil, Sandeep (author), van Arem, B. (author), Farah, H. (author)Accurate and reliable lane detection is vital for the safe performance of lane-keeping assistance and lane departure warning systems. However, under certain challenging circumstances, it is difficult to get satisfactory performance in accurately detecting the lanes from one single image as mostly done in current literature. Since lane...journal article 2022
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Raju, Narayana (author), Schakel, W.J. (author), Reddy, N. (author), Dong, Y. (author), Farah, H. (author)Automated driving systems, which can take over certain dynamic driving tasks from the driver, are becoming increasingly available in commercial vehicles. One of these automated driving systems widely introduced in commercial vehicles is Adaptive Cruise Control (ACC). This system is designed to maintain certain desired driving speeds and time...journal article 2022
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Dong, Y. (author), Chen, Kejia (author), Peng, Yinxuan (author), Ma, Zhiyuan (author)As the central nerve of the intelligent vehicle control system, the in-vehicle network bus is crucial to the security of vehicle driving. One of the best standards for the in-vehicle network is the Controller Area Network (CAN bus) protocol. However, the CAN bus is designed to be vulnerable to various attacks due to its lack of security...conference paper 2022
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Farah, H. (author), Postigo, Ivan (author), Reddy, N. (author), Dong, Y. (author), Rydergren, Clas (author), Raju, Narayana (author), Olstam, Johan (author)The gradual deployment of automated vehicles on the existing road network will lead to a long transition period in which vehicles at different driving automation levels and capabilities will share the road with human driven vehicles, resulting into what is known as mixed traffic. Whether our road infrastructure is ready to safely and efficiently...journal article 2022
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Dong, Y. (author)The mechanism of hydraulic fracturing in soft, high permeability material is considered fundamentally different from that in hard, low permeability rock, where a tensile fracture is created and conventional linear elastic fracture mechanics (LEFM) applies. The fracturing and associated modeling work is then a relatively new area. Particularly,...doctoral thesis 2010
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Zhao, Y. (author), Dong, Y. (author), Gerrits, J.F.M. (author), Van Veenendaal, G. (author), Ling, J.R. (author), Farserotu, J.R. (author)A 9 mW FM-UWB receiver front-end for low data rate (<50 kbps), short range (<10 m) applications operating in the ultra-wideband (UWB) band centered at 7.45 GHz is described in this paper. A single-ended-to-differential preamplifier with 30 dB voltage gain, a 1 GHz bandwidth FM demodulator, and a combined (preamp/demodulator) receiver front-end...journal article 2009