Expert in thermal sensor development, industrialization, production and sales.
tHErmaL vIsion AUgmented awarenesS
An extended perception for enabling safe autonomous drivingDiscover
With the emergence of new forms of personal mobility, the automotive industry is facing a drastic change. Photonic technology – one of the six Key Enabling Technology (KET) recognized by the European Commission – plays a crucial role in meeting automotive needs and expectations. With all sensors combined, limitations are still expected and will limit availability of assistance or autonomous vehicle.
Taking benefit of Long Wave Infra-Red bandwidth (LWIR) in which all object radiates energy depending only on its structure and temperature, the HELIAUS project aims to deliver breakthrough perception systems. HELIAUS will develop smart thermal perception systems that will detect Long Wave Infra-Red light both for in-cabin passengers monitoring and for the car surrounding. HELIAUS will improve object classification of the automotive sensor suite in all light conditions, provide redundancy and thus extend vehicle autonomy towards level 3 and beyond, operating 24/7.
This project has received funding from the ECSEL Joint Undertaking (JU) under grant agreement No 826131. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and France, Germany, Ireland, Italy.
To develop cutting-edge and cost effective technologies leading to low cost, high performance LWIR module.
To specify, develop, test and validate the thermal perception systems for in-cabin and out-of cabin application.
To quantify the valuable addition of the thermal sensing into the current systems and future systems.
To promote the benefit of such systems in the future of autonomous vehicles and for smart mobility.
The EU aims at a 50% reduction in the number of people seriously injured on the roads between 2015 and 2025. The HELIAUS project will contribute to these objectives by providing an affordable and valuable thermal-based perception system to the ADAS system. The HELIAUS project could be leveraged on other highly-automated systems like the industry, robotic, IoT or Health.
The major concrete expected impact items of the project are as follows:
Technological impact items expected from technologies WPs developments (from WP3 to WP5)
Innovative IR modules and Smart IR modules expected from WP6
Applicative impact items expected from in-cabin (WP7) and car environment perception (WP8) developments and evaluations
The HELIAUS project consists of 8 work packages (WP) that are categorized as follows
Three work packages (WP3, WP4 and WP5) are dedicated to the development of the main technologies. The activities in these WPs involve research, technology and developments activities.
One work package (WP6) is focused on the integration of technology components from other WPs, including the demonstration and validation.
Two work packages (WP7 and WP8) are dedicated to the targeted applications with use-cases specifications and evaluation.
One work package (WP2) will focus on the dissemination, communication and exploitation of the project’s results.
One work package (WP1) is dedicated to Project Management and the interaction between the public authorities and the ECSEL JU.
The HELIAUS project is run by a consortium of 11 complementary partners coordinated by LYNRED.
Specialist in the automotive domain, for environment sensing and perception from multiple sensors.
Expert in image processing, Machine Learning and Neural Networks, Embedded Software Implementation, Hybrid SW / HW IP architecture, design and implementation, Image acquisition and testing infrastructure, Driver monitoring.
Recognized supplier of high quality thermal imaging optics for commercial applications.
Expert in Image Processing, Machine Learning, Data Analytics, Embedded Systems Design, Biometrics, Intellectual Property.
Expertise in the field of infrared optics instruments, optical design, electromagnetic simulations and in various infrared measurement campaigns.
Key knowledge of exotic glasses, such as fluorides, phosphates, and chalcogenides.
Expert in computational psychophysiology; biomedical thermal infrared imaging; near infrared imaging; modelling and simulation of thermal biological processes; artificial intelligence; adaptive HMI.