A systematic survey of control techniques and applications: From autonomous vehicles to connected and automated vehicles
Vehicle control is one of the most critical challenges in autonomous vehicles (AVs) and
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
connected and automated vehicles (CAVs), and it is paramount in vehicle safety, passenger …
Resource optimization of mab-based reputation management for data trading in vehicular edge computing
Vehicles are hesitant to upload data to edge servers in vehicle edge computing (VEC) as
many vehicle data collected and perceived by various on-board sensors contain sensitive …
many vehicle data collected and perceived by various on-board sensors contain sensitive …
AI-empowered trajectory anomaly detection and classification in 6G-V2X
G Raja, M Begum, S Gurumoorthy… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The immense growth of Autonomous Vehicles (AVs) and networking technologies have
paved the way for advanced Intelligent Transportation Systems (ITS). AVs increase data …
paved the way for advanced Intelligent Transportation Systems (ITS). AVs increase data …
[HTML][HTML] Autonomous vehicles: The cybersecurity vulnerabilities and countermeasures for big data communication
A Algarni, V Thayananthan - Symmetry, 2022 - mdpi.com
The possible applications of communication based on big data have steadily increased in
several industries, such as the autonomous vehicle industry, with a corresponding increase …
several industries, such as the autonomous vehicle industry, with a corresponding increase …
RS2G: Data-Driven Scene-Graph Extraction and Embedding for Robust Autonomous Perception and Scenario Understanding
Human drivers naturally reason about interactions between road users to understand and
safely navigate through traffic. Thus, developing autonomous vehicles necessitates the …
safely navigate through traffic. Thus, developing autonomous vehicles necessitates the …
Evaluation and testing system for automotive LiDAR sensors
The world is facing a great technological transformation towards fully autonomous vehicles,
where optimists predict that by 2030 autonomous vehicles will be sufficiently reliable …
where optimists predict that by 2030 autonomous vehicles will be sufficiently reliable …
[HTML][HTML] Implementation Method of Automotive Video SAR (ViSAR) Based on Sub-Aperture Spectrum Fusion
P Guo, F Wu, S Tang, C Jiang, C Liu - Remote Sensing, 2023 - mdpi.com
The automotive synthetic aperture radar (SAR) can obtain two-dimensional (2-D) high-
resolution images and has good robustness compared with the other sensors. Generally, the …
resolution images and has good robustness compared with the other sensors. Generally, the …
[HTML][HTML] PIER: Cyber-resilient risk assessment model for connected and autonomous vehicles
S Park, H Park - Wireless Networks, 2022 - Springer
As more vehicles are being connected to the Internet and equipped with autonomous driving
features, more robust safety and security measures are required for connected and …
features, more robust safety and security measures are required for connected and …
Radar Sensor-Based Estimation of Vehicle Orientation for Autonomous Driving
Automotive sensors are essential to autonomous driving, which performs various functions
to perceive the surrounding environment. Among the various functions of the automotive …
to perceive the surrounding environment. Among the various functions of the automotive …
Practical Feature Inference Attack in Vertical Federated Learning During Prediction in Artificial Internet of Things
R Yang, J Ma, J Zhang, S Kumari… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The emergence of edge computing guarantees the combination of the Internet of Things
(IoT) and artificial intelligence (AI). The vertical federated learning (VFL) framework, usually …
(IoT) and artificial intelligence (AI). The vertical federated learning (VFL) framework, usually …