1. Amigoni, F., Gasparini, S., & Gini, M. (2007). Good experimental methodologies for robotic mapping: A proposal. In Proc. of the IEEE int. conf. on robotics & automation (ICRA).
2. Balaguer, B., Carpin, S., & Balakirsky, S. (2007). Towards quantitative comparisons of robot algorithms: Experiences with SLAM in simulation and real world systems. In IROS 2007 workshop.
3. Bar-Shalom, Y., Li, X. R., & Kirubarajan, T. (2001). Estimation with application to tracking and navigation. New York: Wiley.
4. Bonarini, A., Burgard, W., Fontana, G., Matteucci, M., Sorrenti, D. G., & Tardos, J. D. (2006). Rawseeds a project on SLAM benchmarking. In Proceedings of the IROS’06 workshop on benchmarks in robotics research. Available online at http://www.robot.uji.es/EURON/pdfs/LectureNotesIROS06.pdf .
5. Bosse, M., Newman, P. M., Leonard, J. J., & Teller, S. (2003). An ALTAS framework for scalable mapping. In Proc. of the IEEE int. conf. on robotics & automation (ICRA) (pp. 1899–1906). Taipei, Taiwan.