ReviewJournal of imaging2020
A Survey of Computer Vision Methods for 2D Object Detection from Unmanned Aerial Vehicles.
Review in Journal of imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
8 citing papers in PubMed.
- Enhancing life jacket detection for maritime search and rescue using YOLO models and illumination-robust preprocessing techniques.Scientific reports · 2026Article
- Bio-inspired motion detection models for improved UAV and bird differentiation: a novel deep learning framework.Scientific reports · 2025Article
- SF-DETR: A Scale-Frequency Detection Transformer for Drone-View Object Detection.Sensors (Basel, Switzerland) · 2025Article
- Improved A-Star Search Algorithm for Probabilistic Air Pollution Detection Using UAVs.Sensors (Basel, Switzerland) · 2024Article
- Review
- Recent advancements in multimodal human-robot interaction.Frontiers in neurorobotics · 2023Review
- Recognition and Classification of Ship Images Based on SMS-PCNN Model.Frontiers in neurorobotics · 2022Article
- Object Detection Combining CNN and Adaptive Color Prior Features.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The spread of Unmanned Aerial Vehicles (UAVs) in the last decade revolutionized many applications fields. Most investigated research topics focus on increasing autonomy during operational campaigns, environmental monitoring, surveillance, maps, and labeling. To achieve such complex goals, a high-level module is exploited to build semantic knowledge leveraging the outputs of the low-level module that takes data acquired from multiple sensors and extracts information concerning what is sensed. All in all, the detection of the objects is undoubtedly the most important low-level task, and the most employed sensors to accomplish it are by far RGB cameras due to costs, dimensions, and the wide literature on RGB-based object detection. This survey presents recent advancements in 2D object detection for the case of UAVs, focusing on the differences, strategies, and trade-offs between the generic problem of object detection, and the adaptation of such solutions for operations of the UAV. Moreover, a new taxonomy that considers different heights intervals and driven by the methodological approaches introduced by the works in the state of the art instead of hardware, physical and/or technological constraints is proposed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.