Are all other self-driving start-ups doing it wrong? This company says neural networks and machine learning are the only way to go
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Wayve.ai is taking an end-to-end machine learning approach to building a self-driving car. Rather than create a platform and feed the rules of the road, their system uses imitation and reinforcement learning coupled with cameras and sensors to control the vehicle and follow a route entered in the navigation system.
It's this differentiation of what the company calls"end-to-end deep learning" that makes Wayve's self-driving platform scalable to new areas. At present, most autonomous vehicle systems use high-definition maps, lidar, and other custom technologies to build a 3D world in which they can identify objects and signs and learn where it is and where to go.
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