What does the 2017 Hyundai Ioniq, Chevrolet Bolt and the Nissan Leaf have in common? Well, for one they all currently have autonomous driving capability. So, how do they compare against each other?
The autonomous Hyundai Ioniq uses one 140-degree and two 110-degree lbeo LiDAR units in its front fascia. It also utilizes a single camera for traffic-light detection along with stereo units for driving assistants. The vehicle has one processor that consolidates all the data into a singular view while the second processor tells the vehicle what to do about it.
In the cabin, there is an extra display on the center of the dash with two-real-time monitors behind the rear seats. The dash display shows traffic lights, speed limit, vehicle speed, route, a steering wheel to indicate autonomous operations as well as pedestrians detection.
The Chevrolet Bolt, on the other hand, comes with a double dose of LiDAR sensors on its roof. It will also be equipped with cameras, sensors, as well as other hardware to permit the vehicle to drive on its own.
GM has invested $500 million in Lyft earlier this year in order to produce self-driving Chevy Bolts that will enter service in a couple of years time.
The Nissan Leaf is not one to be left out, as well. This vehicle’s autonomous version is fitted with 12 cameras, four side-panel laser scanners, a whole trunk of computing power as well as access to detailed mapping data.
The company plans to commercially bring on self-driving features such as autonomous driving in traffic jams and hands-free lane changing. However, this would only happen when the cost is lowered and it is guaranteed to be safe.
Well, this sure looks like a glimpse into a possible driverless future.