The race for mass-market self-driving cars is well and truly on.
Mercedes-Benz recently tested an autonomous S-class on public roads and declared it wants to be first to market such a car, tentatively suggesting it would do so this decade. But Nissan has boldly announced plans to sell affordable self-driving cars by 2020, so we took the chance to assess its progress via an autonomous Leaf prototype.
It’s all part of Nissan’s ‘Blue Citizenship’ social responsibility plan, a trinity of goals consisting of zero emissions (the Leaf is already the world’s best-selling EV by far), near-zero fatalities and mobility for all. It’s the latter aims that autonomous driving will tackle; after all, 93 per cent of the US’s road accidents are caused by human error, and an autonomous car could also grant new independence to those unable to drive.
The tech is based on Nissan’s existing ‘Safety Shield’, a radar and camera-based set-up that has featured on 730,000 cars to date, bringing with it features such as lane departure warning, adaptive cruise and all-around camera views. The autonomous Leaf adds continuously scanning lasers — ten times more precise than radar — and a raft of new software algorithms to fuse, process and react to sensor feeds and actuation systems for the steering, accelerator and brakes. (Only the steering wheel is physically actuated; the Leaf’s accelerator and brakes are electronically controlled, so there’s no need for pedal movement, and the controls retain precautionary manual override.)
Autonomous driving is said to be safer simply because machines work more quickly than we do. Our eyes capture fewer frames per second than a high-speed camera, our brain processes data and reacts to it more slowly than a CPU, and our hands and feet are trounced for pace by electronic actuators.