IEEE - Institute of Electrical and Electronics Engineers, Inc. - TU-Net and TDeepLab: Deep Learning-Based Terrain Classification Robust to Illumination Changes, Combining Visible and Thermal Imagery

2019 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR)

Author(s): Yumi Iwashita ; Kazuto Nakashima ; Adrian Stoica ; Ryo Kurazume
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 March 2019
Conference Location: San Jose, CA, USA, USA
Conference Date: 28 March 2019
Page(s): 280 - 285
ISBN (Electronic): 978-1-7281-1198-8
DOI: 10.1109/MIPR.2019.00057
Regular:

In this paper we propose two novel deep learning-based terrain classification methods robust to illumination changes. The use of cameras is challenged by a variety of factors, of most importance... View More

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