A Deep Learning approach to traffic sign classification in fog via single pixel camera
Using a specific single-pixel camera with coded apertures to classify the traffic signs in foggy weather with a deep neural network
About me
I am a graduate student at University of Stuttgart in Mechanical Engineering / Materials and Production Engineering. My primary career interest lies in Deep Learning.
Education
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Nanjing Tech University (China)
B.S. in Welding Technology and Engineering | Sept. 2013 - June 2017
Selected Projects
Experience
2020
February - September
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Master Thesis at Institute of Applied Optics (ITO)
- Project: A Deep Learning approach to traffic sign classification in fog via single pixel camera Python OpenCV TensorFlow
2019
August - February(2020)
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Intern at Robert Bosch GmbH
- Fatigue failure of Hairpin Stator
- Preparation, implementation and evaluation of fatigue test
- Fracutre analysis with microscope and SEM
2018
October - April(2019)
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Research Project at Institute for Manufacturing Technologies of Ceramic Components and Composites (IFKB)
- Project: Stabilization of Zirconia by a co-milling process with yttria and neodymia
2017
October
- 🏫 Enrolled in Uni-Stuttgart
June
- 🎓 Graduated from Nanjing Tech University
Feburary - March
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Intern at Kaichuanze Machinery Equipment Co., Ltd
- Simulation and analysis of welding temperature field and stress field Ansys
2013
September
- 🏫 Enrolled in Nanjing Tech University