Advances and Challenges in Drone Detection and Classification Techniques: A State-of-the-Art Review is a report by Ulzhalgas Seidaliyeva, Lyazzat Ilipbayeva, Kyrmyzy Taissariyeva, Kyrmyzy Taissariyeva, and Eric T. Mason.
This review explores current drone detection and classification advancements, focusing on innovative strategies to mitigate concerns associated with UAV activities. The analysis delves into the challenges of dynamic drone behavior, diverse size and speed characteristics, and limited battery life. Additionally, the review categorizes key detection modalities, encompassing radar, radio frequency (RF), acoustic, and vision-based approaches, while scrutinizing their respective advantages and limitations. Emphasis is placed on the significance of sensor fusion methods and alternative detection approaches, such as wireless fidelity (Wi-Fi), cellular, and Internet of Things (IoT) networks, to enhance the precision and effectiveness of UAV detection and identification.
Publication Date– December 2023
の進歩と課題 Drone Detection and Classification Techniques: A State-of-the-Art Review contains the following major sections:
- Introduction
- Drone Detection Technologies
- Discussion and Conclusions
All articles published by MDPI are immediately available worldwide under an open-access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. Any part of the article may be reused without the consent for articles published under an open-access Creative Common CC BY license, provided the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
C-UASハブ does not own this content and provides a link for users at the bottom of the page to access it in its original location. This allows the author(s) to track important article metrics related to their work. All credit goes to its rightful owner.
Post Image Credit: envatoelements by nd3000
- リソース
- 全コンテンツへのアクセスには会員登録が必要
このコンテンツを見るには、無料のC-UAS Hubメンバーシップアカウントを作成してください！
アクセスコンテンツ
