There are 5 Results with the keyword : "Autonomous driving"
Available soon on the platform France Université Numérique (FUN): a MOOC on «Mobile Robots and Autonomous Vehicles», by Inria-uTOP. Registrations are open.
Transportation and mobility
We use machine learning approaches to model human driving. The driver models are then used in two applications:
1. make driving assistance systems less intrusive;
2. teach an autonomous car to reproduce various driving styles.
We will show videos of tests performed on our research vehicle.
Rencontres Inria Industrie
Although traditional methods require an exhaustive understanding of the scene to drive autonomously, we demonstrate an algorithm using Deep Reinforcement Learning that efficiently learned to drive directly from the raw image pixels without any driving examples. This demonstrates a brand new autonomous driving paradigm.
A few days ahead of the publication of the Villani report on artificial intelligence, Bertrand Braunschweig, coordinator of an AI white paper published in 2016 and head of the Inria research centre in Saclay Île-de-France, reviews the work being done on the subject.
Following the publication of its first White Paper on Artificial Intelligence, Inria unveils a second document, this time on autonomous and connected vehicles, in which it identifies and highlights all the issues surrounding the major advances and innovations in this field. What are the technological and scientific challenges, the economic, social and environmental issues, and the legal and ethical implications? This White Paper is a reference text that evaluates, questions and looks ahead.