GNSS-Based Scene Recognition by Means of Machine Learning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-67162-3_33
Reference11 articles.
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2. Feriol, F., Vivet, D., Watanabe, Y.: A review of environmental context detection for navigation based on multiple sensors. Sensors 20(16) (2020). https://doi.org/10.3390/s20164532, https://www.mdpi.com/1424-8220/20/16/4532
3. Groves, P.D.: Shadow matching: a new GNSS positioning technique for urban canyons. J. Navig. 64(3), 417–430 (2011). https://api.semanticscholar.org/CorpusID:18769611
4. Li, S., Li, X., Wang, H., Zhou, Y., Shen, Z.: Multi-GNSS PPP/ins/vision/lidar tightly integrated system for precise navigation in urban environments. Inf. Fusion 90, 218–232 (2023)
5. Ayyalasomayajula, R., Arun, A., Wu, C., Sharma, S., Bharadia, D.: Deep learning based wireless localization for indoor navigation. In: MobiCom 2020: The 26th Annual International Conference on Mobile Computing and Networking, pp. 1–14 (2020)
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