An obstacle avoidance safety detection algorithm for power lines combining binocular vision technology and improved object detection

In this paper, a framework of obstacle avoidance algorithm applied to power line damage safety distance detection is constructed, and its overall architecture and key processes are described in detail. The system design covers three core modules: visual data acquisition and preliminary processing, a...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	Energy Informatics Ročník 7; číslo 1; s. 72 - 20
Hlavní autoři:	Liu, Gao, Li, Duanjiao, Sun, Wenxing, Xie, Zhuojun, Liao, Ruchao, Feng, Jiangbo
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 01.12.2024 Springer Nature B.V SpringerOpen
Témata:	Accuracy Adaptability Algorithms Binocular vision Binocular vision technology Computer Science Damage detection Data acquisition Data analysis Data processing Deep learning Deep learning improves target detection Distance measurement Error analysis Error correction Feature recognition Image acquisition Image enhancement Information Systems and Communication Service Machine learning Object recognition Obstacle avoidance Parallax Power Line obstacle avoidance algorithm Power lines Safe distance detection Safety Systematic error analysis and correction Systems design Target acquisition Target recognition Safe distance detection Binocular vision technology Deep learning improves target detection Power Line obstacle avoidance algorithm Systematic error analysis and correction
ISSN:	2520-8942, 2520-8942
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!