PARALIA
PARALIA: Photonic Multi-beam Beamforming Technology enabling RADAR/LiDAR Multi-sensor Fusion platforms for Aerospace and Automated Driving applications
The impressive milestones achieved in the on-going global race for highly automated or autonomous vehicles are setting the stage for major transformations across the transportation industry, led primary by the expected wide adoption of Level 2 and Level 3 automated driving systems in next-generation automotive vehicles, the forward-looking roadmaps of major technology vendors, predicting next generation consumer-centric fleets of robo-taxis and the growing maturity and expected proliferation of autonomous or Enchanted Flight Vision System-augmented Urban Air Mobility. Transforming however, these technological concepts into a tangible reality has been proven challenging, with recent studies urgently calling for a new-generation of integrated, cost-effective and multi-domain sensory systems, capable of providing to Machine Learning algorithms the required heterogenous environmental information in a low-energy envelope.
PARALIA aims to demonstrate breakthrough performance by enabling an agile, low-cost, and energy-efficient multi-sensor that combines RADAR and LiDAR technologies and by re-architecting the sensors ecosystem enabling ultra-high resolution at ultra-long distances crucial for current and futuristic automotive and aerospace applications.
PARALIA targets to a powerful common LiDAR/RADAR optical multibeam beamforming platform that will be developed based on the best-in-class multi-port linear optical operator architectures exploiting the mighty synergy of InP and SiN integration platforms.
PARALIA will highlight its versatile and scalable perspective and its broad market take-up credentials through the demonstrations of a new series of low-cost, energy-efficient and high-performance LiDAR/RADAR and multi-sensor modules for ultra-high resolution at ultra-long distances for current and futuristic automotive and aerospace applications.
Sivers Wireless will drive the specification, design, and characterization of a two-dimensional beamforming 77-GHz automotive radar front-end that can be integrated with the common LIDAR/RADAR platform in the project. The 64-channel radar front-end design will leverage the extensive mmWave RFIC and antenna design experience from the 5G wireless field in the company.
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