Pedestrian detection and tracking system based on Deep-SORT, YOLOv5, and new data association metrics

M Razzok, A Badri, I El Mourabit, Y Ruichek, A Sahel - Information, 2023 - mdpi.com
Pedestrian tracking and detection have become critical aspects of advanced driver
assistance systems (ADASs), due to their academic and commercial potential. Their …

[HTML][HTML] Real-time traffic flow statistics based on dual-granularity classification

Y Bi, Y Yin, X Liu, X Nie, C Zou, J Du - International Journal of Network …, 2023 - sciltp.com
Traffic detection devices can cause accuracy degradation over time. Considering problems
such as time-consuming and laborious manual statistics, high misdetection probabilities …

A vision detection scheme based on deep learning in a waste plastics sorting system

S Wen, Y Yuan, J Chen - Applied Sciences, 2023 - mdpi.com
The preliminary sorting of plastic products is a necessary step to improve the utilization of
waste resources. To improve the quality and efficiency of sorting, a plastic detection scheme …

PVNet: A Used Vehicle Pedestrian Detection Tracking and Counting Method

H Xie, Z Xiao, W Liu, Z Ye - Sustainability, 2023 - mdpi.com
Advances in technology have made people's lives more prosperous. However, the increase
in the number of cars and the emergence of autonomous driving technology have led to …

Machine learning-driven pedestrian detection and classification for electric vehicles: integrating Bayesian component network analysis and reinforcement region …

A Devipriya, D Prabakar, L Singh, AS Oliver… - Signal, Image and Video …, 2023 - Springer
Autonomous electric vehicle safety is crucially dependent on the accurate recognition of
pedestrians in diverse situations. Current pedestrian detection techniques, however, face …

Reparameterized dilated architecture: A wider field of view for pedestrian detection

L Gong, X Huang, J Chen, M Xiao, Y Chao - Applied Intelligence, 2024 - Springer
With the continuous advancements in the field of computer vision, the performance of state-
of-the-art (SOTA) methods in pedestrian detection has reached new heights. Despite this …

Detecting the Turn on of Vehicle Brake Lights to Prevent Collisions in Highway Tunnels

JB Kim - Sustainability, 2022 - mdpi.com
This paper proposes a method of detecting driving vehicles, estimating the distance, and
detecting whether the brake lights of the detected vehicles are turned on or not to prevent …

A dynamic partition model for multi-energy power grid energy balance considering electric vehicle response willingness

S Qiu, K Zhang, Z Chen, Y Ma, Z Chen - Processes, 2023 - mdpi.com
In multi-energy power grids in which electric vehicles (EVs) participate in response, there
are significant differences in the power balance between multi-energy supply and load at …

A series of methods incorporating deep learning and computer vision techniques in the study of fruit fly (Diptera: Tephritidae) regurgitation

T Zhou, W Zhan, M Xiong - Frontiers in Plant Science, 2024 - frontiersin.org
In this study, we explored the potential of fruit fly regurgitation as a window to understand
complex behaviors, such as predation and defense mechanisms, with implications for …

Optimized Design of EdgeBoard Intelligent Vehicle Based on PP-YOLOE+

C Yao, X Liu, J Wang, Y Cheng - Sensors, 2024 - mdpi.com
Advances in deep learning and computer vision have overcome many challenges inherent
in the field of autonomous intelligent vehicles. To improve the detection accuracy and …