Skip to main content
Search
Menu

SMILE IV

SMILE IV - Safety analysis and verification/validation of MachIne LEarning based systems

Autonomous vehicles heavily rely on deep learning (DL) algorithms to function effectively. Nevertheless, it is still an open research question on how to implement DL methods in safety-critical applications.

SMILE IV is the next research exploration in the roadmap of the SMILE program, leveraging the results of the previous projects SMILE I/II/III to further develop enabling technologies and implement safety assurance framework on the new types of transport services enabled by small autonomous vehicles: transport robots in factory settings and delivery robots in public spaces. 

SMILE IV focuses on optimizing and implementing the safety architecture and safety components for the two distinct use cases of small autonomous vehicles operating in different environments and conditions.

By challenging the approach with diverse use cases and requirements from different domains, the results from SMILE IV will be also of high interest for automotive and other industrial actors that plan to use DL to support autonomous functions in safety critical applications.

Summary

Project name

SMILE IV

Status

Active

Region

Västra Götaland Region

RISE role in project

Coordination; Project management, R&D

Project start

Duration

39 months

Total budget

SEK 14 460 000

Partner

Dyno Robotics AB, Halmstad University, Infotiv AB, Volvo Group

Funders

Vinnova/Fordonsstrategisk forskning och innovation

Coordinators

Project members

Tor Skoglund

Contact person

Tor Skoglund

+46 72 215 58 42

Read more about Tor

Contact Tor
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

* Mandatory By submitting the form, RISE will process your personal data.