35 citations · 74 across the 9 of their papers we have counts for
10 papers
A Multi-Modal Perception Pipeline for Object Detection and Tracking in Autonomous Racing
Davide Malvezzi, Michele Pestarino, Vittoria Cavicchioli +9
Object detection and tracking are fundamental components of perception systems for autonomous driving. Achieving robust performance under adverse conditions such as limited visibil…
Measurement-Based Performance Evaluation of SmartRSUs with Heterogeneous Antenna Architectures for V2X Communications
Marco Savarese, Gaetano Orazio Cauchi, Salvatore Iandolo +7
This paper presents a measurement-based performance evaluation of two custom Smart Roadside Units (SmartRSUs) featuring different V2X antenna architectures. The first configuration…
Guess the Drift with LOP-UKF: LiDAR Odometry and Pacejka Model for Real-Time Racecar Sideslip Estimation
Alessandro Toschi, Nicola Musiu, Francesco Gatti +4
The sideslip angle, crucial for vehicle safety and stability, is determined using both longitudinal and lateral velocities. However, measuring the lateral component often necessita…
er.autopilot 1.0: The Full Autonomous Stack for Oval Racing at High Speeds
Ayoub Raji, Danilo Caporale, Francesco Gatti +15
The Indy Autonomous Challenge (IAC) brought together for the first time in history nine autonomous racing teams competing at unprecedented speed and in head-to-head scenario, using…
Uncovering the Background-Induced bias in RGB based 6-DoF Object Pose Estimation
Elena Govi, Davide Sapienza, Carmelo Scribano +5
In recent years, there has been a growing trend of using data-driven methods in industrial settings. These kinds of methods often process video images or parts, therefore the integ…
Model-Based Underwater 6D Pose Estimation from RGB
Davide Sapienza, Elena Govi, Sara Aldhaheri +5
Object pose estimation underwater allows an autonomous system to perform tracking and intervention tasks. Nonetheless, underwater target pose estimation is remarkably challenging d…
Motion Planning and Control for Multi Vehicle Autonomous Racing at High Speeds
Ayoub Raji, Alexander Liniger, Andrea Giove +6
This paper presents a multi-layer motion planning and control architecture for autonomous racing, capable of avoiding static obstacles, performing active overtakes, and reaching ve…
All You Can Embed: Natural Language based Vehicle Retrieval with Spatio-Temporal Transformers
Carmelo Scribano, Davide Sapienza, Giorgia Franchini +2
Combining Natural Language with Vision represents a unique and interesting challenge in the domain of Artificial Intelligence. The AI City Challenge Track 5 for Natural Language-Ba…
Risk Ranked Recall: Collision Safety Metric for Object Detection Systems in Autonomous Vehicles
Ayoosh Bansal, Jayati Singh, Micaela Verucchi +2
Commonly used metrics for evaluation of object detection systems (precision, recall, mAP) do not give complete information about their suitability of use in safety critical tasks,…
Mise en abyme with artificial intelligence: how to predict the accuracy of NN, applied to hyper-parameter tuning
Giorgia Franchini, Mathilde Galinier, Micaela Verucchi
In the context of deep learning, the costliest phase from a computational point of view is the full training of the learning algorithm. However, this process is to be used a signif…