Search Results for author: Luigi Di Lillo

Found 2 papers, 1 papers with code

A Counterfactual Safety Margin Perspective on the Scoring of Autonomous Vehicles' Riskiness

1 code implementation2 Aug 2023 Alessandro Zanardi, Andrea Censi, Margherita Atzei, Luigi Di Lillo, Emilio Frazzoli

Autonomous Vehicles (AVs) promise a range of societal advantages, including broader access to mobility, reduced road accidents, and enhanced transportation efficiency.

Autonomous Vehicles counterfactual

Formal Estimation of Collision Risks for Autonomous Vehicles: A Compositional Data-Driven Approach

no code implementations14 Dec 2021 Abolfazl Lavaei, Luigi Di Lillo, Andrea Censi, Emilio Frazzoli

The proposed approach is based on the construction of sub-barrier certificates for each stochastic agent via a set of data collected from its trajectories while providing an a-priori guaranteed confidence on the data-driven estimation.

Autonomous Vehicles

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