Transfer Learning Using Deep Neural Networks for Classification of Truck Body Types Based on Side-Fire Lidar Data
Author:
Funder
Mid-Atlantic Transportation Sustainability University Transportation Center
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
http://link.springer.com/content/pdf/10.1007/s42421-019-00005-9.pdf
Reference46 articles.
1. Adu-Gyamfi YO, Asare SK, Sharma A, Titus T (2017) Automated vehicle recognition with deep convolutional neural networks. Transp Res Rec 2645:113–122
2. Aijazi AK, Checchin P, Malaterre L, Trassoudaine L (2016) Automatic detection of vehicles at road intersections using a compact 3D Velodyne sensor mounted on traffic signals. In: Intelligent vehicles symposium (IV), 2016 IEEE, 2016. IEEE, pp 662–667
3. Chang K, Chang J, Liu J (2005) Detection of pavement distresses using 3D laser scanning technology. In: Computing in civil engineering (2005), pp 1–11
4. Chen Z, Ellis T, Velastin SA (2012) Vehicle detection, tracking and classification in urban traffic. In: Intelligent transportation systems (ITSC), 2012 15th international IEEE conference on, 2012. IEEE, pp 951-956
5. Chen X, Xiang S, Liu C-L, Pan C-H (2014) Vehicle detection in satellite images by hybrid deep convolutional neural networks. IEEE Geosci Remote Sens Lett 11:1797–1801
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