High-definition maps: Comprehensive survey, challenges and future perspectives
G Elghazaly, R Frank, S Harvey… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
In cooperative, connected, and automated mobility (CCAM), the more automated vehicles
can perceive, model, and analyze the surrounding environment, the more they become …
can perceive, model, and analyze the surrounding environment, the more they become …
Internet of Vehicles and real-time optimization algorithms: Concepts for vehicle networking in smart cities
Achieving sustainable freight transport and citizens' mobility operations in modern cities are
becoming critical issues for many governments. By analyzing big data streams generated …
becoming critical issues for many governments. By analyzing big data streams generated …
Multi-sensor fusion for vehicle-to-vehicle cooperative localization with object detection and point cloud matching
Accurate vehicle pose is fundamental information required by automated driving systems.
However, complicated driving enironments and sensor failures have constrained onboard …
However, complicated driving enironments and sensor failures have constrained onboard …
Multi-Agent Context Learning Strategy for Interference-Aware Beam Allocation in mmWave Vehicular Communications
Millimeter wave (mmWave) has been recognized as one of key technologies for 5G and
beyond networks due to its potential to enhance channel bandwidth and network capacity …
beyond networks due to its potential to enhance channel bandwidth and network capacity …
Addressing Rare Outages in C-V2X With Time-Controlled One-Shot Resource Scheduling
Cellular Vehicle-to-Everything (C-V2X) has become one of the most anticipated
technologies for vehicular safety network. In LTE C-V2X Basic Safety Messages (BSMs) are …
technologies for vehicular safety network. In LTE C-V2X Basic Safety Messages (BSMs) are …
Operational safety hazard identification methodology for automated driving systems fleets
C Correa-Jullian, M Ramos… - Proceedings of the …, 2024 - journals.sagepub.com
The safety of Automated Driving Systems (ADS) operating as Mobility as a Service (MaaS)
depends on multiple factors in addition to the vehicle's functionality, reliability, and …
depends on multiple factors in addition to the vehicle's functionality, reliability, and …
A novel solution for uu interface based c-v2x
H Li - arXiv preprint arXiv:2109.05684, 2021 - arxiv.org
C-V2X includes two solutions: Uu interface based C-V2X and PC5 interface based C-V2X.
The Uu interface based C-V2X has challenges such as latency and message congestion …
The Uu interface based C-V2X has challenges such as latency and message congestion …
Radar Translation Network Between Sunny and Rainy Domains by Combination of KP-Convolution and CycleGAN
J Lee, G Bang, T Nishimori, K Nakao… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Recently, research on autonomous driving has focused on the advent of various deep
learning algorithms. The main sensors for autonomous driving include cameras, LiDAR, and …
learning algorithms. The main sensors for autonomous driving include cameras, LiDAR, and …
Semantic Trajectory Data Mining with LLM-Informed POI Classification
Human travel trajectory mining is crucial for transportation systems, enhancing route
optimization, traffic management, and the study of human travel patterns. Previous rule …
optimization, traffic management, and the study of human travel patterns. Previous rule …
Network traffic capturing in open-source 5G core network platform
B Zivkovic, Z Cica - 2023 10th International Conference on …, 2023 - ieeexplore.ieee.org
The growth of 5G technology brings new challenges concerning network architecture and
infrastructure. Using Software Defined Networking (SDN) many open-source solutions have …
infrastructure. Using Software Defined Networking (SDN) many open-source solutions have …