GM’s Cruise announced this past June that it would postpone plans for a driverless taxi service, which it previously said would debut in 2019.
In fact, work on the underlying systems and infrastructure has accelerated in the intervening months, according to head of Cruise’s AI and machine learning division Hussein Mehanna.
The passion and drive in the last six months I’ve witnessed demonstrates that people at Cruise … want to deliver the safest, most comfortable vehicle ever,” said Mehanna, a veteran of Microsoft, Google, and Facebook who previously served as Snap’s director of engineering.
“The faster we update [these systems] in the driver’s seat, the faster we can get to the point where we release a car.”
The company to this end detailed the work conducted by its Mapping team, which creates the high-definition maps that enable its cars to self-orient on the road.
The maps in question comprise two asset types — 3D tiles rendered from short- and long-range lidar data and data-encoding labels — that provide information about features like lane boundaries, traffic lights (and their locations), and roadway curb edges.