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document
Naeimi, M. (author), Li, Z. (author), Dollevoet, R.P.B.J. (author)
poster 2016
document
Nunez, Alfredo (author), Popa, Tudor (author), Anghel, Lucian Emmanuel (author), Hendriks, J.M. (author), Moraal, J. (author), Buretea, Laurentiu Dorin (author), Paragreen, Jon (author), Miron, Berbece (author), Gheorghe, Draghici (author), Campean, Mihail (author), Dollevoet, R.P.B.J. (author), Li, Z. (author)
Results on the development of smart technology solutions for lower density<br/>railway lines are presented. The goal is to reach a cost effective inspection and<br/>asset management to minimize maintenance interventions time/cost without<br/>dedicated inspection vehicles. The proposed methods in this paper include: 1) axle box acceleration...
poster 2018
document
Paciolla, Nicola (author), Corbari, Chiara (author), Zheng, Chaolei (author), Menenti, M. (author), Li, Jia (author), Mancini, Marco (author)
poster 2019
document
Li, W. (author), Lhermitte, S.L.M. (author), Lopez Dekker, F.J. (author)
poster 2019
document
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
document
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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