A systematic review of drone based road traffic monitoring system
Drone deployment has become crucial in a variety of applications, including solutions to
traffic issues in metropolitan areas and highways. On the other hand, data collected via …
traffic issues in metropolitan areas and highways. On the other hand, data collected via …
Robust multi-drone multi-target tracking to resolve target occlusion: A benchmark
Multi-drone multi-target tracking aims at collabo-ratively detecting and tracking targets
across multiple drones and associating the identities of objects from different drones, which …
across multiple drones and associating the identities of objects from different drones, which …
A Review on the State of the Art in Copter Drones and Flight Control Systems
J Peksa, D Mamchur - Sensors, 2024 - mdpi.com
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 …
components. It starts by providing an introduction to unmanned aerial vehicles in general …
CholecTriplet2022: Show me a tool and tell me the triplet—An endoscopic vision challenge for surgical action triplet detection
Formalizing surgical activities as triplets of the used instruments, actions performed, and
target anatomies is becoming a gold standard approach for surgical activity modeling. The …
target anatomies is becoming a gold standard approach for surgical activity modeling. The …
[HTML][HTML] EDGS-YOLOv8: An Improved YOLOv8 Lightweight UAV Detection Model
M Huang, W Mi, Y Wang - Drones, 2024 - mdpi.com
In the rapidly developing drone industry, drone use has led to a series of safety hazards in
both civil and military settings, making drone detection an increasingly important research …
both civil and military settings, making drone detection an increasingly important research …
1st workshop on maritime computer vision (macvi) 2023: Challenge results
Abstract The 1st Workshop on Maritime Computer Vision (MaCVi)| 2023 focused on
maritime computer vision for Unmanned| Aerial Vehicles (UAV) and Unmanned Surface …
maritime computer vision for Unmanned| Aerial Vehicles (UAV) and Unmanned Surface …
Traffic analysis through deep-learning-based image segmentation from UAV streaming
Alongside many traditional as well as novel applications, in the latest years, drones have
been widely adopted as remote sensing platforms for road traffic monitoring in urban areas …
been widely adopted as remote sensing platforms for road traffic monitoring in urban areas …
STN-Track: Multiobject tracking of unmanned aerial vehicles by swin transformer neck and new data association method
X Xu, Z Feng, C Cao, C Yu, M Li, Z Wu… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
The gradual development of remote sensing object tracking technology based on
unmanned aerial vehicles (UAV) videos has become one of the main research directions in …
unmanned aerial vehicles (UAV) videos has become one of the main research directions in …
Ugen: Uav and gan-aided ensemble network for post-disaster survivor detection through oran
Post-disaster scene understanding frameworks are increasingly crucial in Search And
Rescue (SAR) operations. Unmanned Aerial Vehicles (UAVs) provide an efficient means to …
Rescue (SAR) operations. Unmanned Aerial Vehicles (UAVs) provide an efficient means to …
TIVE: A toolbox for identifying video instance segmentation errors
In this paper, we introduce TIVE, a Toolbox for Identifying Video instance segmentation
Errors. By directly operating output prediction files, TIVE defines isolated error types and …
Errors. By directly operating output prediction files, TIVE defines isolated error types and …