A novel approach to label road defects in video data: semi-automated video analysis Cover

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A novel approach to label road defects in video data: semi-automated video analysis

International Journal on Smart Sensing and Intelligent Systems

Volume 13 (2020): Issue 1 (January 2020)

By: Jakob Thumm, Johannes Masino, Martin Knoche, Frank Gauterin and Markus Reischl

Open Access

|Apr 2020

Authors

Jakob Thumm

jakob.thumm@student.kit.edu

Karlsruhe Institute of Technology, Karlsruhe, Germany

Johannes Masino

Karlsruhe Institute of Technology, Karlsruhe, Germany

Martin Knoche

CEO of N3T in Whangarei, Wellington, New Zealand

Frank Gauterin

Karlsruhe Institute of Technology, Karlsruhe, Germany

Markus Reischl

Karlsruhe Institute of Technology, Karlsruhe, Germany

DOI: https://doi.org/10.21307/ijssis-2020-007 | Journal eISSN: 1178-5608

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Language: English

Page range: 1 - 9

Submitted on: Dec 5, 2019

|

Published on: Apr 30, 2020

Published by: Professor Subhas Chandra Mukhopadhyay

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

Pothole detection,

Road defect detection,

Image labeling,

Acceleration data processing,

Intelligent sensor systems

Related subjects:

Introductions and overviews,

Engineering, other

© 2020 Jakob Thumm, Johannes Masino, Martin Knoche, Frank Gauterin, Markus Reischl, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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