The project has delivered its first three use cases to be demonstrated at Vision 2018 in Stuttgart, covering Medical X-Ray imaging, automotive ADAS (Advanced Driver Assistance Systems) and UAVs (Unmanned Aircraft Vehicles).
The Medical X-Ray imaging use case combines an embedded computing board with a medical X-ray imaging sensor to eliminate the noise on images when radiation doses are reduced. The ADAS use case enables the implementation of pedestrian detection algorithms running in real-time on a small, energy efficient, embedded platform. The UAVs use case equips a UAV with real-time obstacle detection and avoidance capabilities based on a lightweight and low-cost stereo camera setup.
“At first glance, Medical X-Ray Imaging, ADAS and UAVs would appear to have very little in common,” said Philippe Millet of Thales and Tulipp’s Project Co-ordinator. “But that’s only true when viewed from the perspective of the final application as they all have a requirement for high-performance image processing and they also suffer from the so-called SWaP (Size, Weight and Power) computing constraints typical of embedded systems. Tulipp has addressed these challenges by taking a diverse range of application domains as the basis for defining a common reference processing platform comprising the hardware, the operating system and its programming environment that captures the commonality of real-time, high-performance image processing and vision applications.”