Vision-Based Real-Time Indoor Positioning System for Multiple Vehicles

Author:

Kloock Maximilian,Scheffe Patrick,Tülleners Isabelle,Maczijewski Janis,Kowalewski Stefan,Alrifaee Bassam

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference18 articles.

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2. Chawla, K., Robins, G., and Zhang, L. (2010). Object localization using RFID. In Wireless Pervasive Computing (ISWPC), 2010 5th IEEE International Symposium on, 301–306. IEEE.

3. Diab, H., Abel, D., and Kowalewski, S. (2015). Experimental validation and mathematical analysis of cooperative vehicles in a platoon. Ph.D. thesis, Fachgruppe Informatik, RWTH Aachen University.

4. Faessler, M., Mueggler, E., Schwabe, K., and Scaramuzza, D. (2014). A monocular pose estimation system based on infrared LEDs. In Robotics and Automation (ICRA), 2014 IEEE International Conference on, 907–913.

5. Fukuju, Y., Minami, M., Morikawa, H., and Aoyama, T. (2003). DOLPHIN: An autonomous indoor positioning system in ubiquitous computing environment. In Proceedings IEEE Workshop on Software Technologies for Future Embedded Systems. WSTFES 2003, 53–56. IEEE.

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