Wearable-Based SLAM with Sensor Fusion in Firefighting Operations
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-53830-8_21
Reference8 articles.
1. Campos, C., Elvira, R., Rodríguez, J.J.G., Montiel, J.M., Tardós, J.D.: ORB-SLAM3: an accurate open-source library for visual, visual-inertial, and multimap slam. IEEE Trans. Rob. 37(1), 1874–1890 (2021)
2. Hess, W., Kohler, D., Rapp, H., Andor, D.: Real-time loop closure in 2D LIDAR SLAM. In: 2016 IEEE International Conference on Robotics and Automation (ICRA), pp. 1271–1278. IEEE (2016)
3. Holder, M., Hellwig, S., Winner, H.: Real-time pose graph SLAM based on radar. In: 2019 IEEE Intelligent Vehicles Symposium (IV), pp. 1145–1151. IEEE (2019)
4. Hou, X., Bergmann, J.: Pedestrian dead reckoning with wearable sensors: a systematic review. IEEE Sens. J. 21(1), 143–152 (2020)
5. Zhou, B., et al.: Crowdsourcing-based indoor mapping using smartphones: a survey. ISPRS J. Photogramm. Remote. Sens. 177(1), 131–146 (2021)
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