{"id":25920,"date":"2025-12-11T11:49:03","date_gmt":"2025-12-11T10:49:03","guid":{"rendered":"https:\/\/imredd.fr\/?post_type=projet&p=25920"},"modified":"2026-02-16T11:36:57","modified_gmt":"2026-02-16T10:36:57","slug":"bonsai","status":"publish","type":"projet","link":"https:\/\/imredd.fr\/en\/projet\/bonsai\/","title":{"rendered":"BonsAI"},"excerpt":{"rendered":"

A test environment for autonomous vehicles<\/p>","protected":false},"featured_media":25922,"parent":0,"menu_order":0,"template":"","statut_projet":[434],"type_projet":[464],"class_list":["post-25920","projet","type-projet","status-publish","has-post-thumbnail","hentry","statut_projet-projet-en-cours","type_projet-projet-collaboratif","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"yoast_head":"\nBonsAI - IMREDD - Universit\u00e9 C\u00f4te d'Azur<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/imredd.fr\/en\/project\/bonsai\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"BonsAI\" \/>\n<meta property=\"og:description\" content=\"Un environnement de test pour les v\u00e9hicules autonomes\" \/>\n<meta property=\"og:url\" content=\"https:\/\/imredd.fr\/en\/project\/bonsai\/\" \/>\n<meta property=\"og:site_name\" content=\"IMREDD - 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Pour que ces v\u00e9hicules puissent circuler en toute s\u00e9curit\u00e9 sur les routes, il est crucial qu'ils puissent apprendre \u00e0 identifier et \u00e0 r\u00e9agir aux diff\u00e9rentes situations auxquelles ils peuvent \u00eatre confront\u00e9s. Cela n\u00e9cessite une quantit\u00e9 importante de donn\u00e9es collect\u00e9es \u00e0 partir de situations r\u00e9elles ou de simulations.\r\n\r\nPour acc\u00e9l\u00e9rer l'apprentissage des v\u00e9hicules autonomes et am\u00e9liorer leur s\u00e9curit\u00e9, l'IMREDD\u00a0a lanc\u00e9 le projet BonsAI. Il s\u2019agit d\u2019un <em>testbed<\/em>, c'est-\u00e0-dire un environnement routier en \u00e9chelle r\u00e9duite.\r\n\r\nL\u2019originalit\u00e9 de ce projet r\u00e9side dans le fait que l\u2019environnement de test reproduit un endroit r\u00e9el : le rond-point des Balcons d\u2019Azur \u00e0 Mandelieu-La Napoule. Ce rond-point a \u00e9t\u00e9 \u00e9quip\u00e9 de capteurs pour collecter des donn\u00e9es r\u00e9elles et dynamiques sur le trafic routier. Les donn\u00e9es collect\u00e9es sont envoy\u00e9es au testbed et utilis\u00e9es pour\r\ntester et d\u00e9velopper les technologies de conduite autonome, \u00e9valuer les performances des syst\u00e8mes de navigation et de communication, et am\u00e9liorer la s\u00e9curit\u00e9 des v\u00e9hicules autonomes.\r\n\r\nDes v\u00e9hicules en \u00e9chelle r\u00e9duite, \u00e9quip\u00e9s de la m\u00eame technologie des navettes autonomes, circulent sur une maquette du rond-point dans la Plateforme Technologique de l\u2019IMREDD et r\u00e9agissent aux conditions de circulation provenant des capteurs install\u00e9s au rond-point napoulois.\r\n\r\nLe projet BonsAI vise \u00e9galement \u00e0 contribuer au d\u00e9veloppement d\u2019une nouvelle approche d'apprentissage par la machine appel\u00e9e \u00ab IA f\u00e9d\u00e9rative \u00bb. Contrairement \u00e0\r\nl\u2019approche traditionnelle, qui implique la collecte de donn\u00e9es individuelles dans une base de donn\u00e9es centralis\u00e9e, l'IA f\u00e9d\u00e9rative se base sur l'apprentissage distribu\u00e9, dans lequel les donn\u00e9es restent sur les appareils locaux et les mod\u00e8les de donn\u00e9es sont \u00e9chang\u00e9s plut\u00f4t que les donn\u00e9es individuelles. 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