Integrating Computer Vision and Photogrammetry for Autonomous Aerial Vehicle Landing in Static Environment-Reference-Cited by-同舟云学术

Integrating Computer Vision and Photogrammetry for Autonomous Aerial Vehicle Landing in Static Environment

Published:2024 Issue: Volume:12 Page:4532-4543
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Subramanian Jayasurya Arasur¹^ORCID,Asirvadam Vijanth Sagayan¹,Zulkifli Saiful Azrin B. M.¹^ORCID,Singh Narinderjit Singh Sawaran²,Shanthi N.³,Lagisetty Ravi Kumar⁴,Kadir Kushsairy Abdul⁵^ORCID

Affiliation:

1. Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia

2. Faculty of Data Science and Information Technology, INTI International University, Persiaran Perdana BBN, Nilai, Negeri Sembilan, Malaysia

3. Department of Computer Science and Engineering, Kongu Engineering College, Erode, India

4. Indian Space Research Organization, Bengaluru, India

5. Deputy President’s Office Chancellery, British Malaysian Institute, Universiti Kuala Lumpur, Kuala Lumpur, Selangor, Malaysia

Funder

Yayasan Universiti Teknologi PETRONAS (UTP) (YUTP) under YUTP-Fundamental Research Grant (FRG), Cost Center

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10379799.pdf?arnumber=10379799

Reference30 articles.

1. Drone Deep Reinforcement Learning: A Review

2. HelipadCat: Categorised Helipad Image Dataset and Detection Method

3. Multi colony ant optimization for UAV path planning with obstacle avoidance

4. Path planning under obstacle-avoidance constraints based on ant colony optimization algorithm

5. The Three-Dimension Path Planning of UAV Based on Improved Artificial Potential Field in Dynamic Environment

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