The main problems in transportation are accidents, increasingly slow traffic flow, and
pollution. An intelligent transportation system (ITS) using roadside infrastructure can …

Data-intensive machine learning based techniques increasingly play a prominent role in the
development of future mobility solutions-from driver assistance and automation functions in …

Deep learning is a key approach for the environment perception function of Cooperative
Intelligent Transportation Systems (C-ITS) with autonomous vehicles and smart traffic …

This work aims to address the challenges in domain adaptation of 3D object detection using
infrastructure LiDARs. We design a model DASE-ProPillars that can detect vehicles in …

Abstract Train-to-wayside (T2W) and train-to-train (T2T) communication modes may coexist
in future train-centric communication-based train control (CBTC) systems. The feasibility of …

The 5G slice networks will play a critical role in meeting the stringent quality‑of‑service
requirements of differ‑ent use cases, reducing the Capital Expenditure (CapEX) and …

Open source system level simulators play a crucial role in the early stage research and
optimization of cellular V2X communication networks and cooperative intelligent …

This paper presents a management approach for real-time Kubernetes clusters in the
automotive mobile edge cloud. As part of a vehicle-centric approach to future autonomous …