5 papers · 1 filter
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…
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…
Multi-Object Tracking with Camera-LiDAR Fusion for Autonomous Driving
Riccardo Pieroni, Simone Specchia, Matteo Corno +1
This paper presents a novel multi-modal Multi-Object Tracking (MOT) algorithm for self-driving cars that combines camera and LiDAR data. Camera frames are processed with a state-of…
Mobile Robot Localization: a Modular, Odometry-Improving Approach
Luca Mozzarelli, Luca Cattaneo, Matteo Corno +1
Despite the number of works published in recent years, vehicle localization remains an open, challenging problem. While map-based localization and SLAM algorithms are getting bette…
Automatic Navigation Map Generation for Mobile Robots in Urban Environments
Luca Mozzarelli, Simone Specchia, Matteo Corno +1
A fundamental prerequisite for safe and efficient navigation of mobile robots is the availability of reliable navigation maps upon which trajectories can be planned. With the incre…