Search Results for author:
Found 8 papers, 1 papers with code
Modeling Interference for the Coexistence of 6G Networks and Passive Sensing Systems
In this paper, we provide the first, fundamental analysis of Radio Frequency Interference (RFI) that large-scale terrestrial deployments introduce in different satellite sensing systems now orbiting the Earth.
SELMA: SEmantic Large-scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints
Accurate scene understanding from multiple sensors mounted on cars is a key requirement for autonomous driving systems.
Point Cloud Compression for Efficient Data Broadcasting: A Performance Comparison
The worldwide commercialization of fifth generation (5G) wireless networks and the exciting possibilities offered by connected and autonomous vehicles (CAVs) are pushing toward the deployment of heterogeneous sensors for tracking dynamic objects in the automotive environment.
On the Role of Sensor Fusion for Object Detection in Future Vehicular Networks
In this paper, we evaluate how using a combination of different sensors affects the detection of the environment in which the vehicles move and operate.
Hybrid Point Cloud Semantic Compression for Automotive Sensors: A Performance Evaluation
In a fully autonomous driving framework, where vehicles operate without human intervention, information sharing plays a fundamental role.
Autonomous Driving
Quantization
Networking and Internet Architecture
Accuracy vs. Complexity for mmWave Ray-Tracing: A Full Stack Perspective
The millimeter wave (mmWave) band will provide multi-gigabits-per-second connectivity in the radio access of future wireless systems.
Machine Learning-aided Design of Thinned Antenna Arrays for Optimized Network Level Performance
With the advent of millimeter wave (mmWave) communications, the combination of a detailed 5G network simulator with an accurate antenna radiation model is required to analyze the realistic performance of complex cellular scenarios.
Enabling Simulation-Based Optimization Through Machine Learning: A Case Study on Antenna Design
Therefore, it is possible to perform a global numerical optimization over the vast multi-dimensional parameter space, in a fraction of the time that would be required by a simple brute-force search.
