Nissan to Launch New Self-driving Technology ProPILOT with Lidar and Wayve AI by FY27

​Nissan is set to introduce a significant advancement in its driver-assistance technology with the launch of an upgraded ProPILOT system by fiscal year 2027. This next-generation system will integrate cutting-edge lidar sensors with artificial intelligence developed by London-based startup Wayve. Unlike traditional autonomous systems that rely heavily on pre-mapped data, Wayve's AI employs real-world learning, enabling vehicles to adapt to complex driving scenarios in a human-like manner. The collaboration aims to deliver Level 2 autonomy, where the vehicle can manage certain driving tasks but still requires human oversight. This initiative positions Nissan at the forefront of semi-autonomous vehicle technology, reflecting a strategic move to enhance safety and driving experience through innovative partnerships.​

Nissan ProPILOT: Key Details

The Japanese carmaker is yet to confirm which models will receive the tech first. It is widely expected that the technology will debut in global markets before expanding to India. This new system will feature a powerful blend of advanced lidar sensors and artificial intelligence developed by UK-based startup Wayve, utilising what Nissan calls Ground Truth Perception.

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The focus of this upgrade is to elevate the vehicle’s awareness and responsiveness to its surroundings, thanks to improved sensor integration and high-precision mapping.

At the software core is Wayve’s AI Driver, a sophisticated, foundation-based intelligence model trained on real-world driving environments. Unlike conventional systems that follow pre-written rules, this AI adapts dynamically, learning from varied and unpredictable traffic conditions to react much like a human would.

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Wayve’s approach enables the technology to operate across diverse road types and geographic regions, from city streets to highways. Additionally, its scalable architecture makes it compatible with different vehicle categories. Nissan emphasizes that the AI will evolve through constant exposure to new data, gradually refining its performance and reliability over time.