Autonomy

The ‘full-stack’
behind autonomous driving

Groundbreaking technology,
one great experience

We engineer our hardware and software in-house, so we don't have to compromise on any detail. You probably won’t notice most of what we’ve done. Which is fine by us.

Sensors

Zoox vehicles use unique sensor architecture combining cameras, lidars, and radars to see their surroundings.

360-Degree field of view

Our sensor placement provides an overlapping field of view and 360° coverage. This enables redundancy and for the vehicle to perceive in all directions equally well.

Sees over 150m

Our vehicles can see over 150m away in all directions—and even around corners. That means Zoox vehicles can safely see what's coming long before it's anywhere close.

Compute

Zoox vehicles are built with a powerful compute system, as well as redundant backups, that house our proprietary software. This means our vehicles can make quick decisions to continue to drive safely.

Learn More

A closer look at the tech
behind autonomous driving

Zoox lidar data
A Zoox icon illustrating autonomy
Calibration, Localization, and Mapping

Autonomous vehicles must have a clear understanding of their location before they can safely drive. At Zoox, this process involves three critical components: calibration, localization, and mapping.

A Zoox TeleGuidance employee assisting a vehicle
A Zoox teleguidance icon
TeleGuidance

TeleGuidance assists vehicles to navigate what we call ‘edge cases’ – some of the rarest and most complex driving situations.

Our vehicles learn from these interactions and require less assistance when facing similarly complex situations.

A Zoox simulation
A Zoox simulation icon
Simulation

Simulation allows us to test and validate our software before it's transferred to our vehicles. It also provides a safe environment to test against edge cases that rarely occur in the real world.

Zoox computer vision
A Zoox Computer Vision icon
Computer Vision

Computer vision enables our vehicles to understand intricate details about their surroundings. For example, if a pedestrian is looking at their phone or whether flashing lights on a car mean it’s an emergency vehicle.