An improved lightweight small object detection framework applied to real-time autonomous driving

B Mahaur, KK Mishra, A Kumar - Expert Systems with Applications, 2023 - Elsevier
Recent deep learning-based object detectors have shown compelling performance for the
detection of large objects in autonomous driving applications. However, the detection of …

Deep transformer networks for precise pothole segmentation tasks

I Katsamenis, A Sakelliou, N Bakalos… - Proceedings of the 16th …, 2023 - dl.acm.org
Potholes on the road surface are a significant safety hazard and can cause severe damage
to vehicles. Identifying and repairing potholes is a challenging task that requires efficient and …

Investigation of edge computing in computer vision-based construction resource detection

C Chen, H Gu, S Lian, Y Zhao, B Xiao - Buildings, 2022 - mdpi.com
The Internet of Things (IoT), including sensors, computer vision (CV), robotics, and visual
reality technologies, is widely used in the construction industry to facilitate construction …

Leveraging deep learning decision-support system in specialized oncology center: a multi-reader retrospective study on detection of pulmonary lesions in chest X-ray …

D Kvak, A Chromcová, R Hrubý, E Janů, M Biroš… - Diagnostics, 2023 - mdpi.com
Chest X-ray (CXR) is considered to be the most widely used modality for detecting and
monitoring various thoracic findings, including lung carcinoma and other pulmonary lesions …

Surface defect detection with channel-spatial attention modules and bi-directional feature pyramid

H Xin, K Zhang - IEEE Access, 2023 - ieeexplore.ieee.org
The YOLOv5 network architecture prioritizes speed and efficiency, but this may limit its ability
to capture intricate details of complex objects. To solve the problems of insufficient feature …

Deep learning model yolov5 for red chilies detection from chilly crop images

PPVS Ram, KVS Yaswanth, S Kamepalli… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
The agriculture industry has been facing a growing challenge with the rising cost of labor in
recent years. A large portion of the expenses incurred in agriculture goes towards employing …

In-field chilli crop disease detection using YOLOv5 deep learning technique

KM Mayalekshmi, A Ranjan… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
Crop disease detection in the actual field is difficult due to the unstructured environment. The
images taken from the farms are covered mainly by green-colored plants or leaves, from …

Comparative study of various algorithms for vehicle detection and counting in traffic

A John, D Meva - International Conference on Advancements in Smart …, 2022 - Springer
Now a days massive traffic queues and accidents are very much there in the Indian roads.
Traffic Management is a critical issue which influences us all things considered, regular. Use …

Visual servo kinematic control of delta robot using YOLOv5 algorithm

K Yamtuan, T Radomngam… - Journal of Robotics and …, 2023 - journal.umy.ac.id
Industrial delta robots with motion-and vision-base controllers, providing high-precision and
fast/flexible motion, normally come with high cost and complex software. Low-cost delta …

Performance evaluation of a deep learning model for automatic detection and localization of idiopathic osteosclerosis on dental panoramic radiographs

M Tassoker, MÜ Öziç, F Yuce - Scientific Reports, 2024 - nature.com
Idiopathic osteosclerosis (IO) are focal radiopacities of unknown etiology observed in the
jaws. These radiopacities are incidentally detected on dental panoramic radiographs taken …