Keypoint detection-based and multi-deep learning model integrated method for identifying vehicle axle load spatial-temporal distribution
B Xu, C Liu - Advanced Engineering Informatics, 2024 - Elsevier
Within the domain of operational bridges, the assessment of vehicle loads assumes
paramount significance due to the inherent uncertainty and randomness associated with …
paramount significance due to the inherent uncertainty and randomness associated with …
An enhanced model for detecting and classifying emergency vehicles using a generative adversarial network (GAN)
M Shatnawi, M Bani Younes - Vehicles, 2024 - mdpi.com
The rise in autonomous vehicles further impacts road networks and driving conditions over
the road networks. Cameras and sensors allow these vehicles to gather the characteristics …
the road networks. Cameras and sensors allow these vehicles to gather the characteristics …
[HTML][HTML] Multi-Object Vehicle Detection and Tracking Algorithm Based on Improved YOLOv8 and ByteTrack
L You, Y Chen, C Xiao, C Sun, R Li - Electronics, 2024 - mdpi.com
Vehicle detection and tracking technology plays a crucial role in Intelligent Transportation
Systems. However, due to factors such as complex scenarios, diverse scales, and …
Systems. However, due to factors such as complex scenarios, diverse scales, and …
[HTML][HTML] Multi-Task Environmental Perception Methods for Autonomous Driving
R Liu, S Yang, W Tang, J Yuan, Q Chan, Y Yang - Sensors, 2024 - mdpi.com
In autonomous driving, environmental perception technology often encounters challenges
such as false positives, missed detections, and low accuracy, particularly in detecting small …
such as false positives, missed detections, and low accuracy, particularly in detecting small …
A deep kernel regression-based forecasting framework for temperature-induced strain in large-span bridges
B Xu, C Liu - Engineering Structures, 2025 - Elsevier
The strain data from health monitoring systems of large-span bridges is influenced by
various load effects, with the extraction and forecasting of temperature-induced strain being …
various load effects, with the extraction and forecasting of temperature-induced strain being …
Bayesian-optimized deep learning model for real-time spatial distribution identification of vehicle axle load
B Xu, G Feng, X Liu, C Liu - Expert Systems with Applications, 2025 - Elsevier
Real-time identification of the spatial distribution of vehicle axle loads on the bridge is vital
for bridge health monitoring and maintenance. This paper proposes an identification method …
for bridge health monitoring and maintenance. This paper proposes an identification method …
Distributed Event-Triggering Adaptive Platooning Control of Connected Vehicles Under False Data Injection Attacks
D Zhao, H Zhang, N Zhao, K Mathiyalagan - Available at SSRN 4921962 - papers.ssrn.com
This article proposes a distributed event-triggering adaptive secure platooning control
strategy to withstand the effect of false data injection attacks (FDIAs) for connected vehicles …
strategy to withstand the effect of false data injection attacks (FDIAs) for connected vehicles …