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Found 5 papers, 2 papers with code
Deep Reinforcement Learning for the Joint Control of Traffic Light Signaling and Vehicle Speed Advice
We show this to improve the efficacy of traffic systems.
An Overview of the NET Playground -- A Heterogeneous, Multi-Functional Network Test Bed
This paper provides an overview of the hardware and software components used in our test bed project the NET Playground.
Fast IMU-based Dual Estimation of Human Motion and Kinematic Parameters via Progressive In-Network Computing
We adopt the concept of field Kalman filtering, where the dual estimation problem is decomposed into a fast state estimation process and a computationally expensive parameter estimation process.
Machine Learning for QoS Prediction in Vehicular Communication: Challenges and Solution Approaches
This proactive behavior of the network can be leveraged to sustain, for example, a specific quality of service requirement.
Explainable Artificial Intelligence (XAI)
Feature Engineering
Berlin V2X: A Machine Learning Dataset from Multiple Vehicles and Radio Access Technologies
The evolution of wireless communications into 6G and beyond is expected to rely on new machine learning (ML)-based capabilities.
