Partners: Calyo Limited (Lead), Baro Vehicles Limited. 

Our project, DRIVEN BY SOUND, aims to develop and deliver the world’s most reliable, affordable, and comprehensive vehicle navigation system that can operate in any conditions and scenarios.

To achieve this, the partners will deliver an automotive-grade high-performance supercomputer that is flexible, scalable, and powerful. It can be integrated into any type of vehicle or platform, supporting all levels of automated and autonomous driving, from Level 2+ to Level 5. The compute platform will be equipped, as a minimum, with the next-generation 3-D ultrasound sensors, replacing outdated 1-D range finders.

This foundational vehicle control module ensures safety even in challenging weather conditions – we call it simply, a safety module. Its modular setup allows for compatibility with System-on-Chip (SoC) variants from renowned manufacturers, including Nvidia, TI, and Qualcomm, providing the necessary computing power based on the intended application.

Furthermore, the safety module serves as a crucial redundancy mechanism. In the event of a fault in the main computer systems or if road conditions are deemed too severe, the safety module comes into play. Driven by sound, it enables the vehicle to execute minimum risk manoeuvres (MRMs) and safely pull over, enhancing overall safety and reliability.

By incorporating this redundancy feature, our system ensures that even in challenging situations, the vehicle can respond appropriately and mitigate risks effectively. This capability contributes to the overall safety and dependability of the vehicle, instilling confidence in both manufacturers and end-users.

Thus, our system not only addresses the demands of software-defined vehicles and the ever evolving electrical and electronic architectures, but also enhances safety and reliability through its built-in redundancy mechanism.

Additionally, our system will be ruggedised to withstand harsh conditions such as extreme temperatures and dust, ensuring reliable operation under challenging environments. It will offer state-of-the-art protection against cyber threats, providing a secure computing environment.

The safety module will be optimised for AI capabilities, particularly deep learning processes, enhancing its ability to deliver advanced safety features. The system performs GPU-driven fusion of sensor data, including environmental measurements from Calyo-Pulse, radars, LiDARs, cameras, and sound patterns (such as sirens), enabling a comprehensive surround view.

Overall, our project combines cutting-edge technology, reliability in adverse conditions, and advanced safety features to deliver a state-of-the-art vehicle navigation system that paves the way for a smooth transition to Level 5 autonomy.