An Intelligent Navigation Control Approach for Autonomous Unmanned Vehicles via Deep Learning-Enhanced Visual SLAM Framework-Reference-Cited by-同舟云学术

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An Intelligent Navigation Control Approach for Autonomous Unmanned Vehicles via Deep Learning-Enhanced Visual SLAM Framework

Published:2023 Issue: Volume:11 Page:119067-119077
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chen Lu¹,Liu Yapeng²^ORCID,Dong Panpan³,Liang Jianwei¹,Wang Aibing³

Affiliation:

1. Department of Mechanical and Electrical Engineering, Shijiazhuang College of Applied Technology, Shijiazhuang, China

2. Department of Information Science and Engineering, Hebei Vocational College of Labour Relations, Shijiazhuang, China

3. Department of Automotive Engineering, Hebei Jiaotong Vocational and Technical College, Shijiazhuang, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10290892.pdf?arnumber=10290892

Reference38 articles.

1. Dynamic path planning for unmanned surface vehicle in complex offshore areas based on hybrid algorithm

2. GAN-Siamese Network for Cross-Domain Vehicle Re-identification in Intelligent Transport Systems

3. Motion planning of unmanned aerial vehicles in dynamic 3D space: a potential force approach

4. Smart assessment and forecasting framework for healthy development index in urban cities

5. Bio-inspired Neural Network-based Optimal Path Planning for UUVs under the Effect of Ocean Currents

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1. Advancing automotive high-performance computing: integrating direction API with LORA technology in unified machine vision for future smart cars;Multimedia Tools and Applications;2024-07-15

2. A Novel Fixed-time-based Unmanned Surface Vehicle Autonomous Berthing Sliding Mode Control;2024 7th International Symposium on Autonomous Systems (ISAS);2024-05-07

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