Luca Caltagirone

Doctoral Student at Chalmers, Mechanics and Maritime Sciences, Vehicle Engineering and Autonomous Systems

Luca Caltagirone is a PhD student in the Adaptive systems group. His project is about vehicle self-localization and scene understanding using machine learning (especially deep neural networks) and biologically inspired algorithms. The goal of his project is to develop systems that can estimate a heavy-duty vehicle’s pose and that can provide information about its surroundings (e.g., road curvature, drivable surface) using on-board sensors, V2X communication, and map data, in order to perform reliable autonomous lateral control under a variety of environmental conditions and vehicle combinations. The project is in collaboration with Volvo Trucks AB.

Source: chalmers.se

Showing 6 publications

2018

Deep Learning Applications for Autonomous Driving

Luca Caltagirone
Licentiate thesis
2018

LIDAR-based Driving Path Generation Using Fully Convolutional Neural Networks

Luca Caltagirone, Mauro Bellone, Lennart Svensson et al
IEEE 20th International Conference on Intelligent Transportation Systems
Paper in proceedings
2018

LIDAR-Camera Fusion for Road Detection Using Fully Convolutional Neural Networks

Luca Caltagirone, Mauro Bellone, Lennart Svensson et al
Robotics and Autonomous Systems
Journal article
2017

Learning Traversability from Point Clouds in Challenging Scenarios

Mauro Bellone, Giulio Reina, Luca Caltagirone et al
IEEE Transactions on Intelligent Transportation Systems. Vol. 4 (1)
Journal article
2017

Fast LIDAR-based road detection using fully convolutional neural networks

Luca Caltagirone, Samuel Scheidegger, Lennart Svensson et al
IEEE Intelligent Vehicles Symposium, Proceedings, p. 1019-1024
Paper in proceedings
2015

Truck Platooning Based on Lead Vehicle Speed Profile Optimization and Artificial Physics

Luca Caltagirone, Sina Torabi, Mattias Wahde
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC 2015. Vol. 2015 October, p. 394-399
Paper in proceedings

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