An adaptive, color based lane detection of a wearable jogging navigation system for visually impaired on less structured paths

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Ramer C, Seßner J, Lichtenegger T, Landgraf M, Franke J
Editor(s): IEEE
Publication year: 2016
Pages range: 741-746


Abstract


Based on a previously published version of a first prototypic jogging navigation system for visually impaired and blind people, this paper presents an adaptive lane detection method that extents the use on standard running tracks to general and less structured paths. Additional and supporting developments refer to an active camera stabilization, the improved intuitive vibration feedback and the integrated and embedded mechatronic system setup.



FAU Authors / FAU Editors

Franke, Jörg Prof. Dr.-Ing.
Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik
Landgraf, Maximilian
Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik
Ramer, Christina
Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik
Seßner, Julian
Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik


How to cite

APA:
Ramer, C., Seßner, J., Lichtenegger, T., Landgraf, M., & Franke, J. (2016). An adaptive, color based lane detection of a wearable jogging navigation system for visually impaired on less structured paths. In IEEE (Eds.), (pp. 741-746). Singapore, SG.

MLA:
Ramer, Christina, et al. "An adaptive, color based lane detection of a wearable jogging navigation system for visually impaired on less structured paths." Proceedings of the 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), Singapore Ed. IEEE, 2016. 741-746.

BibTeX: 

Last updated on 2018-19-10 at 14:00