Imagine giving a car or drone a set of eyes that combines a laser flashlight and a radio wave scanner into one tiny chip. Instead of using bulky, power-hungry equipment, it uses light-based circuits to steer beams of energy with extreme precision. This allows the vehicle to see its surroundings in high definition while using significantly less battery.
Current autonomous sensors are often too power-hungry and bulky, limiting the battery life of electric vehicles and drones. Additionally, fusing data from separate Radar and Lidar systems is computationally expensive and slow.
A multi-sensor platform combining K-band/E-band Radar and 2D scanning Lidar on a photonic integrated circuit, managed by an ML-based data fusion unit.
If you are an EV maker dealing with high power drain from sensors — this project developed a K-band radar and Lidar system that reduces power consumption by 1.85x for radar and 2.78x for Lidar. This extends battery range while maintaining a 120-degree field of view.
If you are a drone manufacturer dealing with weight and energy constraints — this project developed an E-band radar prototype that reduces power consumption by 2.85x. This allows for longer flight times and better obstacle avoidance in the air.
If you are a chip maker dealing with the complexity of integrating different sensor types — this project developed a hybrid InP-SiN integration platform. This allows for the creation of 8x64 single-channel and 8-channel WDM 8x8 photonic integrated circuits.
The project aims to launch a low-cost multi-sensor platform by utilizing mature and low-cost SiGe platforms for RF and antenna circuitry.
Based on available project data, the use of silicon photonics and SiGe platforms suggests a path toward industrial scaling, though specific volume targets are not mentioned.
Based on available project data, the consortium includes 7 industrial partners and 4 SMEs, but specific licensing terms are not provided.
The system includes an embedded ML-empowered processing unit designed to fuse Lidar and Radar data into a single synthetic vision package.
The project runs from January 1, 2023, to June 30, 2026.
The consortium is heavily industry-weighted with 70% industrial partners (7 companies), including 4 SMEs. This strong commercial presence, spanning 8 countries, indicates a high focus on market application rather than pure academic research, despite being coordinated by a university.
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