University of Cambridge researchers say machine learning is key to self-driving car

#artificialintelligence

A Cambridge-based start-up believes machine learning software is the key to autonomous vehicles and Wayve is developing machine learning algorithms for autonomous vehicles. Wayve, which includes the chief scientist at Uber amongst its investors, believes the industry has been doing too much hand-engineering and too little machine learning. The firm is hiring for positions in its Cambridge-based headquarters. "The missing piece of the self-driving puzzle is intelligent algorithms, not more sensors, rules and maps. Humans have a fascinating ability to perform complex tasks in the real world, because our brains allow us to learn quickly and transfer knowledge across our many experiences.


AI algorithm teaches a car to drive from scratch in 20 minutes

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"Imagine deploying a fleet of autonomous cars, with a driving algorithm which initially is 95% the quality of a human driver. Such a system would not be wobbly like the randomly initialized model in our demonstration video, but rather would be almost capable of dealing with traffic lights, roundabouts, intersections, etc. After a full day of driving and on-line improvement from human-safety driver take over, perhaps the system would improve to 96%. After a few months, the system may be super-human, having benefited from the feedback of many different safety drivers."


AI algorithm teaches a car to drive from scratch in 20 minutes

#artificialintelligence

"Imagine deploying a fleet of autonomous cars, with a driving algorithm which initially is 95% the quality of a human driver. Such a system would not be wobbly like the randomly initialized model in our demonstration video, but rather would be almost capable of dealing with traffic lights, roundabouts, intersections, etc. After a full day of driving and on-line improvement from human-safety driver take over, perhaps the system would improve to 96%. After a few months, the system may be super-human, having benefited from the feedback of many different safety drivers."


Wayve says self-driving cars don't need sensors. Experts aren't so sure.

Mashable

Why weigh down a self-driving car with a lot of sensors, HD maps, and equipment when you don't have to? It claims it only needs a camera, GPS tracker, and a powerful computer to be able to drive anywhere autonomously. But experts who specialize in sensing technologies like light-based LiDAR and radar say the idea mostly comes across as preposterous -- or the very least, short-sighted. Most self-driving cars decide how to drive down a street as it happens -- picking up information about debris in the way, pedestrians on the sidewalk, the sun starting to set in the distance. Wayve doesn't try to interpret that much data since it can't really pick up much from its cameras.


Watch a self-driving car navigate with just cameras and basic GPS

Engadget

Self-driving cars currently need a lot of hand-holding to get around, with even Waymo's machines relying on lidar, custom rules and highly detailed maps to know exactly where to go. Wayve, however, wants driverless vehicles with more independence. It just showed a prototype autonomous vehicle (a modified Renault Twizy) driving around Cambridge, UK using only cameras and basic GPS directions from a phone. It had never seen the roads before, and was only running on 20 hours of training data -- it didn't even know to drive on the left side of the road or to slow down at intersections where it didn't have the right of way. The trick, according to Wayve, is the approach to the driving AI.