3 citations · 4 across the 4 of their papers we have counts for
9 papers
SELMA: SEmantic Large-scale Multimodal Acquisitions in Variable Weather, Daytime and Viewpoints
Paolo Testolina, Francesco Barbato, Umberto Michieli +3
Accurate scene understanding from multiple sensors mounted on cars is a key requirement for autonomous driving systems. Nowadays, this task is mainly performed through data-hungry…
Point Cloud Compression for Efficient Data Broadcasting: A Performance Comparison
Francesco Nardo, Davide Peressoni, Paolo Testolina +2
The worldwide commercialization of fifth generation (5G) wireless networks and the exciting possibilities offered by connected and autonomous vehicles (CAVs) are pushing toward the…
On the Role of Sensor Fusion for Object Detection in Future Vehicular Networks
Valentina Rossi, Paolo Testolina, Marco Giordani +1
Fully autonomous driving systems require fast detection and recognition of sensitive objects in the environment. In this context, intelligent vehicles should share their sensor dat…
Hybrid Point Cloud Semantic Compression for Automotive Sensors: A Performance Evaluation
Andrea Varischio, Francesco Mandruzzato, Marcello Bullo +3
In a fully autonomous driving framework, where vehicles operate without human intervention, information sharing plays a fundamental role. In this context, new network solutions hav…
Accuracy vs. Complexity for mmWave Ray-Tracing: A Full Stack Perspective
Mattia Lecci, Paolo Testolina, Michele Polese +2
The millimeter wave (mmWave) band will provide multi-gigabits-per-second connectivity in the radio access of future wireless systems. The high propagation loss in this portion of t…
Simplified Ray Tracing for the Millimeter Wave Channel: A Performance Evaluation
Mattia Lecci, Paolo Testolina, Marco Giordani +6
Millimeter-wave (mmWave) communication is one of the cornerstone innovations of fifth-generation (5G) wireless networks, thanks to the massive bandwidth available in these frequenc…