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Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
Open Access
Research on unmanned vehicle obstacle avoidance technology based on LIDAR and depth camera fusion
Hao Qiu
Hao Qiu
School of Automation, Nanjing University of Information Science & Technology
Nanjing, China
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Qiu, Hao
,
Weifeng Chen
Weifeng Chen
School of Automation, Nanjing University of Information Science & Technology
Nanjing, China
School of Mechanical and Electronic Engineering, Quanzhou University of Information Engineering
Quanzhou, China
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Chen, Weifeng
,
Aihong Ji
Aihong Ji
Lab of Locomotion Bioinspiration and Intelligent Robots, College of Mechanical & Electrical Engineering, Nanjing University of Aeronautics & Astronautics
Nanjing, China
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Ji, Aihong
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Kai Hu
Kai Hu
School of Automation, Nanjing University of Information Science & Technology
Nanjing, China
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Hu, Kai
Oct 11, 2023
Applied Mathematics and Nonlinear Sciences
Volume 9 (2024): Issue 1 (January 2024)
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Published Online:
Oct 11, 2023
Received:
Jan 10, 2023
Accepted:
Apr 21, 2023
DOI:
https://doi.org/10.2478/amns.2023.2.00575
Keywords
Lidar
,
depth camera
,
Raster map method
,
Unmanned vehicle
,
Obstacle avoidance technique
,
Positional attitude
,
Bayesian estimation
© 2023 Hao Qiu et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
