Wayve Self-Driving Tech to Integrate with Nissan Vehicles

Nissan to Integrate Wayve's Self-Driving Software

Nissan has announced a collaboration with Wayve to incorporate self-driving software into its advanced driver-assistance systems, with implementation planned for 2027.

This agreement represents a significant milestone for Wayve, the U.K.-based startup, which has secured over $1.3 billion in funding from prominent investors including Nvidia, Microsoft, SoftBank Group, and Uber.

Enhancing ProPilot with Wayve Technology

The integration will involve Wayve’s software and sensor technology, including lidar from a currently unnamed provider, being added to Nissan’s ProPilot ADAS system.

Nissan anticipates this enhancement will establish a “new standard for autonomous driving” with improved collision avoidance capabilities.

Level 2 Automation and Driver Supervision

The system, slated for mass production by 2027, will operate as a Level 2 system, requiring continuous driver supervision.

Specific vehicle models that will feature the upgraded system have not yet been disclosed by Nissan.

Level 2 automation, as defined by the Society of Automotive Engineers, enables the system to handle multiple driving tasks like steering and braking, but the driver must remain in control.

Wayve's Unique Approach to Self-Driving

Founded in 2017, Wayve has attracted attention and investment due to its self-learning automated driving system.

This approach differs from rules-based systems, mirroring the methodology employed by Tesla.

Wayve has developed both an “eyes on” assisted driving system and an “eyes off” fully automated driving system, utilizing an end-to-end data-driven learning approach.

Business Model: Licensing "Embodied AI"

Unlike Tesla, Wayve intends to license its “Embodied AI” technology to automotive manufacturers and other technology companies.

Advantages of a Sensor and Map-Agnostic System

Wayve’s self-learning system is particularly attractive to automakers because it doesn’t depend on specific sensors or high-definition maps.

The system is designed to function effectively with existing sensors, such as cameras and radar, capturing data to inform driving decisions.

Furthermore, the software can operate on various GPUs already present in vehicles, as stated by Wayve’s co-founder and CEO, Alex Kendall.

Versatile Applications of the Technology

According to Kendall, the software’s cost-effectiveness and adaptability make it suitable for a range of applications, including advanced driver-assistance systems, robotaxis, and robotics.

Adaptability and Real-World Learning

Nissan spokesperson Shiro Nagai highlighted Wayve’s Embodied AI foundation model, a large-scale AI trained on extensive real-world driving data.

This allows the software to adapt to diverse environments and vehicle platforms.

Nagai expressed confidence that the combination of Nissan’s technology and Wayve’s AI will enable future Nissan vehicles to emulate the judgment and actions of a skilled human driver in challenging driving situations.