2D-3D hybrid mapping for path planning in autonomous robots-Reference-Cited by-同舟云学术

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2D-3D hybrid mapping for path planning in autonomous robots

Published:2023-02-16 Issue:2 Volume:7 Page:291-303
ISSN:2366-5971
Container-title:International Journal of Intelligent Robotics and Applications
language:en
Short-container-title:Int J Intell Robot Appl

Author:

Megalingam Rajesh Kannan,Tantravahi Santosh,Tammana Hemanth Sai Surya Kumar,Puram Hari Sudarshan Rahul

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Science Applications

Link

https://link.springer.com/content/pdf/10.1007/s41315-023-00272-4.pdf

Reference36 articles.

1. Barbosa, F.S., Duberg, D., Jensfelt, P., Tumova, J.: Guiding autonomous exploration with signal temporal logic. IEEE Robot. Autom. Lett. 4(4), 3332–3339 (2019). https://doi.org/10.1109/LRA.2019.2926669

2. Bosse, M., Zlot, R., Flick, P.: Zebedee: design of a spring-mounted 3-D Range sensor with application to mobile mapping. IEEE Trans. Robot. 28(5), 1104–1119 (2012). https://doi.org/10.1109/TRO.2012.2200990

3. Chen, L., He, Y., Chen, J., Li, Q., Zou, Q.: Transforming a 3-D LiDAR point cloud into a 2-D dense depth map through a parameter self-adaptive framework. IEEE Trans. Intell. Transp. Syst. 18(1), 165–176 (2017). https://doi.org/10.1109/TITS.2016.2564640

4. Chen, L., Peng, C.: A robust 2D-SLAM technology with environmental variation adaptability. IEEE Sens. J. 19(23), 11475–11491 (2019). https://doi.org/10.1109/JSEN.2019.2931368

5. Cui, X., et al.: 3D semantic map construction using improved orb-slam2 for mobile robot in edge computing environment. IEEE Access. (2020). https://doi.org/10.1109/ACCESS.2020.2983488

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1. A Robot Mapping Technique for Indoor Environments;Lecture Notes in Networks and Systems;2024

2. UAV 3D Path Planning based on Ant Colony Algorithm;2023 Global Conference on Information Technologies and Communications (GCITC);2023-12-01

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