Cambridge University tech start-up Wayve is working on driverless cars that can be deployed on any road anywhere with just 20 hours of machine-learning
“Cambridge is a great place to test [autonomous vehicles] because the roads are complex and difficult,” says the cofounder of driverless car startup Wayve.Each hour the streets are flooded with students cycling between lectures. This is great for challenging us to build a complex AI [artificial intelligence] system. Other approaches, focusing on easy cities like Phoenix, Arizona – with sunny, wide grid roads – will never scale to these situations.
If AV technology can be made to work around the many cyclists of Cambridge it could solve the so-called “Holborn Problem.” This is a , a cyclist hanging at a U.S. intersection on a fixed-wheel bicycle found that a Google driverless car in front of him wouldn’t budge because of his nudging to and fro in order to balance.Much of the AV sector relies on object detection developed by the Karlsruhe Institute of Technology and the Toyota Technological Institute at Chicago. Thisrecognises 3-D objects such as cars, pedestrians and cyclists.
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