6 papers
LCF3D: A Robust and Real-Time Late-Cascade Fusion Framework for 3D Object Detection in Autonomous Driving
Carlo Sgaravatti, Riccardo Pieroni, Matteo Corno +3
Accurately localizing 3D objects like pedestrians, cyclists, and other vehicles is essential in Autonomous Driving. To ensure high detection performance, Autonomous Vehicles comple…
Target Tracking via LiDAR-RADAR Sensor Fusion for Autonomous Racing
Marcello Cellina, Matteo Corno, Sergio Matteo Savaresi
High Speed multi-vehicle Autonomous Racing will increase the safety and performance of road-going Autonomous Vehicles. Precise vehicle detection and dynamics estimation from a movi…
Automatic dimensionality reduction of Twin-in-the-Loop Observers
Giacomo Delcaro, Riccardo Poli, Federico Dettù +2
Conventional vehicle dynamics estimation methods suffer from the drawback of employing independent, separately calibrated filtering modules for each variable. To address this limit…
A Multimodal Hybrid Late-Cascade Fusion Network for Enhanced 3D Object Detection
Carlo Sgaravatti, Roberto Basla, Riccardo Pieroni +4
We present a new way to detect 3D objects from multimodal inputs, leveraging both LiDAR and RGB cameras in a hybrid late-cascade scheme, that combines an RGB detection network and…
LiDAR-Based Vehicle Detection and Tracking for Autonomous Racing
Marcello Cellina, Matteo Corno, Sergio Matteo Savaresi
Autonomous racing provides a controlled environment for testing the software and hardware of autonomous vehicles operating at their performance limits. Competitive interactions bet…
Semi-automated transmission control for motorcycle gearshift: design, data-driven tuning and experimental validation
Edoardo Catenaro, Giulio Panzani, Davide Sette +1
This brief addresses the gearshifting problem for Semi-Automated Manual Transmissions (S-AMT) in powered two-wheelers, a powertrain setup that allows fast and smooth gear shifts wi…