“We want to enable the next generation of ADAS applications for safer, cleaner, and more efficient mobility”
To develop a low-cost EGNOS/EDAS + GNSS (GPS/GLONASS/Galileo) + IMU + Computer Vision based positioning module prototype for fast HW/SW in-the-loop development, which will enable enhanced positioning capabilities.
To develop new, computer vision based, road modelling (lane modelling), traffic signal identification and road/traffic element tracking and identification.
To create a new generation of enhanced maps that will update continuously thanks to crowdsourcing (information provided by all the inLane navigation users).
To define and develop complex fusion and hybridisation algorithms for GNSS, IMU, Map and Computer Vision technologies for reaching sub-metre accuracy (precise in-lane position)
Target performance: 5 cm accuracy related to absolute location
To validate the positioning performance improvement that can be expected from Galileo and/or EGNSS + IMU + Computer Vision for cartography generation applications
To implement a long term (six months) data collection pilot in real conditions involving end users to test the system in its final configuration under the expected range of environmental conditions in which it will be expected to operate once commercialised.
The tests will be held on highways (suburban scenario) and cities (urban scenario). Therefore two main pilot sites will be used the cities of Helmond and Eindhoven and the connecting roads A270 and N270 in the Netherlands as well as city of Barcelona and all the ringroads and highways around it