Donnons un sens à l'innovation

SIVALab joint laboratory

Lab­o­ra­toire com­mun Renault – UTC – CNRS « Sys­tèmes intè­gres pour le véhicule autonome ».

Presentation

A joint laboratory?

SIVALAB is a part­ner­ship between a research lab­o­ra­to­ry and a car man­u­fac­tur­er, with the inten­tion of imple­ment­ing a pro­gramme of research and inno­va­tion extend­ing over at least four years.

SIVALAB (Trustworthy perception and localization systems for autonomous vehicles)

In March 2017 Renault and Heudi­asyc, a joint UTC/CNRS research lab­o­ra­to­ry, cre­at­ed SIVALAB, a lab­o­ra­to­ry spe­cial­iz­ing in local­iza­tion and per­cep­tion sys­tems for autonomous vehicles.

This sci­en­tif­ic and tech­no­log­i­cal part­ner­ship, set up for an ini­tial four years and renew­able, is the fruit of a col­lab­o­ra­tion that has last­ed more than ten years already. SIVALAB is intend­ed to har­ness the poten­tial of Heudiasyc’s autonomous vehi­cle plat­forms devel­oped around the Renault Zoë.

Research Topics

The most impor­tant research area to be addressed by this part­ner­ship con­cerns the reli­a­bil­i­ty and accu­ra­cy of per­cep­tion and local­iza­tion sys­tems used for nav­i­gat­ing com­mu­ni­cat­ing autonomous vehicles.

Input data are sup­plied not only from on-board sen­sors, but also from pre-exist­ing maps and from out­side, via dynam­ic links with oth­er road users and with road infrastructure.

Com­bin­ing these dif­fer­ent types of data intel­li­gent­ly makes the vehi­cle bet­ter able to iden­ti­fy its loca­tion in rela­tion to its sur­round­ings than it would be able to do using only on-board sensors.

twitter-squarelinkedin-squarephone-squareenvelopeyoutube-square