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.

Code To Road

A safe journey
starts long before you get in

Mapping

Zoox vehicles drive in predefined areas using a purpose-built geometric and semantic map.

Perception

Zoox doesn’t just see objects—it identifies them. Advanced perception software categorizes pedestrians, vehicles, and other road users in real time.

Prediction

Our prediction system uses sophisticated machine learning to anticipate what people and vehicles will do next.

Planning and control

Our proprietary planning system brings all of this data together, to move Zoox smoothly through dense urban environments.

Driving Videos

Fully autonomous,
even in complex environments

Fully autonomous driving

We're driving autonomously in San Francisco and
Las Vegas. Making unprotected lefts and rights on red.
Navigating complicated construction zones and passing double-parked vehicles.

Fully autonomous driving

We're driving autonomously in San Francisco and
Las Vegas. Making unprotected lefts and rights on red. Navigating complicated construction zones and passing double-parked vehicles.

Fully autonomous driving

We're driving autonomously in San Francisco and
Las Vegas. Making unprotected lefts and rights on red. Navigating complicated construction zones and passing double-parked vehicles.

Learn More

A closer look at the tech
behind autonomous driving

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.

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.

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.

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.

The ‘full-stack’ behind autonomous driving

Groundbreaking technology, one great experience

Mapping

Perception

Prediction

Planning and control

Fully autonomous driving

Fully autonomous driving

Fully autonomous driving

A closer look at the tech behind autonomous driving

Calibration, Localization, and Mapping

TeleGuidance

Simulation

Computer Vision

The ‘full-stack’
behind autonomous driving

Groundbreaking technology,
one great experience

A closer look at the tech
behind autonomous driving