ReviewSensors (Basel, Switzerland)2024
A Review on the State of the Art in Copter Drones and Flight Control Systems.
Review in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Enhancing UAV survivability through real-time stall detection and parachute assisted recovery.Scientific reports · 2026Article
- Multimodal Shared Autonomy for Heavy-Load UAV Operations with Physics-Aware Cooperative Control.Sensors (Basel, Switzerland) · 2026Article
- AI-enabled drones for date palm pollination.Scientific reports · 2026Article
- Six degree of freedom quadcopter stabilization using self adaptive bonobo Pareto multi objective FLC with processor in the loop validation.Scientific reports · 2025Article
- Assessment of the Drone Arm's Plastic-Metal Joint Mechanical Resistance Following Natural and Artificial Aging of the 3D-Printed Plastic Component.Materials (Basel, Switzerland) · 2025Article
- A Systematic Review of Drone Customization and Application in Public Health Innovation.Cureus · 2025Review
- Optimizing success rate with Nonlinear Mapping Control in a high-performance raspberry Pi-based light source target tracking system.PloS one · 2025Article
- Custom UAV with model predictive control for autonomous static and dynamic trajectory tracking in agricultural fields.Frontiers in robotics and AI · 2025Article
- Investigation of Unsafe Construction Site Conditions Using Deep Learning Algorithms Using Unmanned Aerial Vehicles.Sensors (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper presents an overview on the state of the art in copter drones and their components. It starts by providing an introduction to unmanned aerial vehicles in general, describing their main types, and then shifts its focus mostly to multirotor drones as the most attractive for individual and research use. This paper analyzes various multirotor drone types, their construction, typical areas of implementation, and technology used underneath their construction. Finally, it looks at current challenges and future directions in drone system development, emerging technologies, and future research topics in the area. This paper concludes by highlighting some key challenges that need to be addressed before widespread adoption of drone technologies in everyday life can occur. By summarizing an up-to-date survey on the state of the art in copter drone technology, this paper will provide valuable insights into where this field is heading in terms of progress and innovation.
Indexed as
Identifiers
What OpenQuestion holds
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.