A novel tensor decomposition-based efficient detector for low-altitude aerial objects with knowledge distillation scheme

N Zeng, X Li, P Wu, H Li, X Luo - IEEE/CAA Journal of …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have gained significant attention in practical applications,
especially the low-altitude aerial (LAA) object detection imposes stringent requirements on …

[HTML][HTML] Drone-YOLO: an efficient neural network method for target detection in drone images

Z Zhang - Drones, 2023 - mdpi.com
Object detection in unmanned aerial vehicle (UAV) imagery is a meaningful foundation in
various research domains. However, UAV imagery poses unique challenges, including …

Learning precise feature via self-attention and self-cooperation YOLOX for smoke detection

J Wang, X Zhang, K Jing, C Zhang - Expert Systems with Applications, 2023 - Elsevier
Smoke detection is a key process for fire warning systems. However, the existing smoke
detection methods are insufficient to extract precise smoke features due to the smoke's …

[HTML][HTML] 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 …

[HTML][HTML] A multi-scale object detector based on coordinate and global information aggregation for UAV aerial images

L Zhou, Z Liu, H Zhao, YE Hou, Y Liu, X Zuo, L Dang - Remote Sensing, 2023 - mdpi.com
Unmanned aerial vehicle (UAV) image object detection has great application value in the
military and civilian fields. However, the objects in the captured images from UAVs have …

A dataset for the visually impaired walk on the road

H Xia, C Yao, Y Tan, S Song - Displays, 2023 - Elsevier
As a special group, visually impaired people (VIP) find it difficult to access and use visual
information in the same way as sighted individuals. In recent years, benefiting from the …

[HTML][HTML] An Improved Forest Smoke Detection Model Based on YOLOv8

Y Wang, Y Piao, H Wang, H Zhang, B Li - Forests, 2024 - mdpi.com
This study centers on leveraging smoke detection for preemptive forest smoke detection.
Owing to the inherent ambiguity and uncertainty in smoke characteristics, existing smoke …

[HTML][HTML] A Novel Network Framework on Simultaneous Road Segmentation and Vehicle Detection for UAV Aerial Traffic Images

M Xiao, W Min, C Yang, Y Song - Sensors, 2024 - mdpi.com
Unmanned Aerial Vehicle (UAV) aerial sensors are an important means of collecting ground
image data. Through the road segmentation and vehicle detection of drivable areas in UAV …

[HTML][HTML] MFEFNet: A Multi-Scale Feature Information Extraction and Fusion Network for Multi-Scale Object Detection in UAV Aerial Images

L Zhou, S Zhao, Z Wan, Y Liu, Y Wang, X Zuo - Drones, 2024 - mdpi.com
Unmanned aerial vehicles (UAVs) are now widely used in many fields. Due to the
randomness of UAV flight height and shooting angle, UAV images usually have the …

Towards better small object detection in UAV scenes: Aggregating more object-oriented information

C Yang, Y Cao, X Lu - Pattern Recognition Letters, 2024 - Elsevier
Security, transportation, and rescue applications require fully analyzing the visual data
interpretation via drone platforms. While various aspects of object detection research are …