Improved YOLOv5 Algorithm for Small Object Detection in Drone Images

Y Lin, Y Liu - International Conference on Computational Visual …, 2024 - Springer
The object detection in the context of drone is a hot topic in the field of computer vision in
recent years. In response to the challenge of limited image feature information and the …

YOLO-FA: Type-1 fuzzy attention based YOLO detector for vehicle detection

L Kang, Z Lu, L Meng, Z Gao - Expert Systems with Applications, 2024 - Elsevier
Vehicle detection is an important component of intelligent transportation systems and
autonomous driving. However, in real-world vehicle detection scenarios, the presence of …

Emergency vehicle detection using vehicle sound classification: A deep learning approach

S Sathruhan, OK Herath, T Sivakumar… - 2022 6th SLAAI …, 2022 - ieeexplore.ieee.org
Emergency vehicles are equipped with audio and visual warning devices, which are meant
to help them navigate through traffic by demanding manoeuvring space from other vehicles …

Multiple mechanisms to strengthen the ability of YOLOv5s for real-time identification of vehicle type

Q Luo, J Wang, M Gao, Z He, Y Yang, H Zhou - Electronics, 2022 - mdpi.com
Identifying the type of vehicle on the road is a challenging task, especially in the natural
environment with all its complexities, such that the traditional architecture for object detection …

Combining visible and infrared spectrum imagery using machine learning for small unmanned aerial system detection

VG Goecks, G Woods, J Valasek - … Target Recognition XXX, 2020 - spiedigitallibrary.org
There is an increasing demand for technology and solutions to counter commercial, off-the-
shelf small unmanned aerial systems (sUAS). Advances in machine learning and deep …

HRYNet: a highly robust YOLO network for complex road traffic object detection

L Tang, L Yun, Z Chen, F Cheng - Sensors, 2024 - mdpi.com
Object detection is a crucial component of the perception system in autonomous driving.
However, the road scene presents a highly intricate environment where the visibility and …

Performance Evaluation of Ambulance Detection and Classification Using Machine Learning Through a Drone on Edge AI Devices

AM Shaikh, R Gajjar - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
Emergency services like ambulances, fire brigades, etc. are essential pillars of any country.
In certain situations, the delayed arrival of ambulances at hospitals can pose a risk to the …

Audio-vision emergency vehicle detection

VT Tran, WH Tsai - IEEE sensors Journal, 2021 - ieeexplore.ieee.org
Emergency vehicles (EVs) are permitted to travel at high speed to quickly reach the
destination with the aid of audible and visual warning signals, and other road users are …

Detection of Active Emergency Vehicles using Per-Frame CNNs and Output Smoothing

M Fan, C Bidstrup, Z Su, J Owens, G Yang… - arXiv preprint arXiv …, 2022 - arxiv.org
While inferring common actor states (such as position or velocity) is an important and well-
explored task of the perception system aboard a self-driving vehicle (SDV), it may not always …

Smart Application for Real Time Detection: An Improved Lightweight Detector for Real-Time Vehicle Detection

A Alsanabani, A Abugabah… - … Conference on Ubiquitous …, 2023 - ieeexplore.ieee.org
With the goal of creating a model that satisfies the demands of detecting vehicles on the
road in real time and delivers high FPS speed and high accuracy, we propose …