Multi-sensor Information Fusion in Internet of Vehicles Based on Deep Learning: A Review

D Tian, J Li, J Lei - Neurocomputing, 2024 - Elsevier
Environmental perception is a crucial component of intelligent driving technology, providing
the informational foundation for intelligent decision-making and collaborative control. Due to …

Contrast Enhancement-Based Preprocessing Process to Improve Deep Learning Object Task Performance and Results

T Wang, GT Kim, M Kim, J Jang - Applied Sciences, 2023 - mdpi.com
Excessive lighting or sunlight can make it difficult to judge visually. The same goes for
cameras that function like the human eye. In the field of computer vision, object tasks have a …

Dynamic Feature Focusing Network for small object detection

R Jing, W Zhang, Y Li, W Li, Y Liu - Information Processing & Management, 2024 - Elsevier
Deep learning has driven research in object detection and achieved proud results. Despite
its significant advancements in object detection, small object detection still struggles with low …

Certificateless and Revocable Bilateral Access Control for Privacy-Preserving Edge-Cloud Computing

QA Huang, YW Si - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
With the rapid advancement of intelligent devices and cloud services, a novel edge-cloud
computing paradigm is emerging, finding widespread adoption in numerous advanced …

[HTML][HTML] A Shared-Road-Rights Driving Strategy Based on Resolution Guidance for Right-of-Way Conflicts

M Li, G Li, C Sun, J Yang, H Li, J Li, F Li - Electronics, 2024 - mdpi.com
In addressing the critical issue of right-of-way conflicts in mixed-traffic environments, this
paper introduces a novel shared right-of-way driving strategy that encompasses two guiding …

Research on Image Recognition and Classification Algorithms in Cloud Computing Environment Based on Deep Neural Networks

Z Jia - IEEE Access, 2025 - ieeexplore.ieee.org
Image recognition provides an essential role in many areas of modern life, such as security,
video analysis, healthcare, and autonomous vehicles. The present article analyzes the …

Cooperative Perception Using V2X Communications: An Experimental Study

F Hawlader, F Robinet, R Frank - 2024 IEEE 100th Vehicular …, 2024 - ieeexplore.ieee.org
The development and testing of real-time perception capabilities is crucial to fully realize the
potential of connected and automated driving. This study presents a comprehensive …

[PDF][PDF] An Edge-enabled Virtual Honeypot Based Intrusion Detection System for Vehicle-to-Everything (V2X) Security using Machine Learning.

S Thangam, SS Chakkaravarthy - IAENG International Journal of …, 2024 - iaeng.org
Securing vehicle-to-everything (V2X) communications is essential as intelligent
transportation system integration progresses to guarantee the dependability and safety of …

Vehicle-to-Everything-Car Edge Cloud Management with Development, Security, and Operations Automation Framework

DH Ku, H Zang, A Yusupov, S Park, JW Kim - Electronics, 2025 - mdpi.com
Modern autonomous driving and intelligent transportation systems face critical challenges in
managing real-time data processing, network latency, and security threats across distributed …

Voxtnt: A 3d Object Detection Approach from Point Cloud Based on Voxel-Level Transformer in Transformer

Q Zheng, S Wu, J Wei - Available at SSRN 5064935 - papers.ssrn.com
Abstract 3D object detection plays a significant role in the field of intelligent transportation
engineering. Recently, a variety of LiDAR-based methods for the 3D detection of single …