A comprehensive overview of dynamic visual SLAM and deep learning: concepts, methods and challenges
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://link.springer.com/content/pdf/10.1007/s00138-022-01306-w.pdf
Reference137 articles.
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3. Wen, S., Zhao, Y., Yuan, X., Wang, Z., Zhang, D., Manfredi, L.: Path planning for active slam based on deep reinforcement learning under unknown environments. Intell. Serv. Robot. 13, 1–10 (2020)
4. Kegeleirs, M., Grisetti, G., Birattari, M.: Swarm slam: Challenges and perspectives. Front. Robot. AI 8, 23 (2021)
5. Smith, R., Self, M., Cheeseman, P.: Estimating uncertain spatial relationships in robotics. In: Autonomous Robot Vehicles, pp. 167–193. Springer (1990)
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