SEGM: A Novel Semantic Evidential Grid Map by Fusing Multiple Sensors
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-60633-6_13
Reference17 articles.
1. Nuss, D., Reuter, S., Thom, M., et al.: A random finite set approach for dynamic occupancy grid maps with real-time application [J]. Int. J. Robot. Res. 37(8), 841–866 (2018)
2. Singh, R., Nagla, K.S.: Sonar sensor model for the precision measurement to generate robust occupancy grid map [J]. MAPAN 34(2), 239–257 (2019)
3. Shafer, G.: A Mathematical Theory of Evidence [M]. Princeton university press, New Jersey (1976)
4. Moras, J., Dezert, J., Pannetier, B.: Grid occupancy estimation for environment perception based on belief functions and PCR6 [C]. In: Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV. International Society for Optics and Photonics, vol. 9474, p. 94740P (2015)
5. Mullane, J., Adams, M.D., Wijesoma, W.S.: Evidential versus Bayesian estimation for radar map building [C]. In: 2006 9th International Conference on Control, Automation, Robotics and Vision, pp. 1–8. IEEE (2006)
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