LET US DO THE DRIVING
Yandex Self-Driving Car project
WHAT IS AN AUTONOMOUS VEHICLE?
An autonomous vehicle is a safe vehicle. It requires no human driver to operate, so you are transported to your destination by a system that never gets tired, distracted, or upset. It’s aware of its surroundings in 360 degrees and detects details that even the most experienced human drivers will miss.
We began developing our autonomous vehicle system in 2016, and have been working with world-class engineers to test them on the road since December 2017. Our technology can be applied to any kind of vehicle, making travel safer and more accessible to all.
We began developing our autonomous vehicle system in 2016, and have been working with world-class engineers to test them on the road since December 2017. Our technology can be applied to any kind of vehicle, making travel safer and more accessible to all.
HOW A YANDEX DRIVERLESS CAR SEES THE WORLD
Cameras, RADAR, and LIDAR systems scan the vehicle’s surroundings in 360 degrees, perfectly distinguishing road markings, traffic signs, vehicles, people, animals, and all other elements in the environment. The vehicle uses this information to predict how other objects will move, then determines its own route through the same space.
Cameras point in every direction from the car, acquiring visual information about traffic signals, road surface markings, and beyond. This helps the car form a better overall picture of its surroundings than a human ever could.
LIDAR systems emit laser beams while rotating 360 degrees. By measuring the time it takes for a laser to bounce off an object and return to the sensor, they produce a highly accurate 3D model of the environment.
Radar monitors the car’s surroundings, measuring its proximity to other objects, as well as how fast those objects are moving. Using radio waves, the radar system can «see» objects up to 300 meters away, especially important for vehicles traveling at a high rate of speed.
The GNSS receiver processes signals from GLONASS, GPS, and other satellite navigation systems to track the vehicle’s location on a map. Working together with the vehicle’s own LIDAR, camera, and inertial sensor systems, the car can determine its location with centimeter-level precision at any given moment.
The car’s internal software operates as the brain of the system. LIDAR, radar, and cameras can only monitor objects and report their input. But software that runs machine learning and artificial intelligence algorithms can determine what the input actually is, then set a safe speed and plot a corresponding route. In the very near future, you will be able to call a self-driving taxi to your location using Yandex.Taxi.
Cameras, RADAR, and LIDAR systems scan the vehicle’s surroundings in 360 degrees, perfectly distinguishing road markings, traffic signs, vehicles, people, animals, and all other elements in the environment. The vehicle uses this information to predict how other objects will move, then determines its own route through the same space.
Cameras point in every direction from the car, acquiring visual information about traffic signals, road surface markings, and beyond. This helps the car form a better overall picture of its surroundings than a human ever could.
LIDAR systems emit laser beams while rotating 360 degrees. By measuring the time it takes for a laser to bounce off an object and return to the sensor, they produce a highly accurate 3D model of the environment.
Radar monitors the car’s surroundings, measuring its proximity to other objects, as well as how fast those objects are moving. Using radio waves, the radar system can «see» objects up to 300 meters away, especially important for vehicles traveling at a high rate of speed.
The GNSS receiver processes signals from GLONASS, GPS, and other satellite navigation systems to track the vehicle’s location on a map. Working together with the vehicle’s own LIDAR, camera, and inertial sensor systems, the car can determine its location with centimeter-level precision at any given moment.
The car’s internal software operates as the brain of the system. LIDAR, radar, and cameras can only monitor objects and report their input. But software that runs machine learning and artificial intelligence algorithms can determine what the input actually is, then set a safe speed and plot a corresponding route. In the very near future, you will be able to call a self-driving taxi to your location using Yandex.Taxi.
REAL-WORLD USE CASES
Yandex demonstrated its driverless technology on public roads of Las Vegas during CES, the largest consumer electronics show in the world.
Our autonomous ride-hailing service has completed more than 2,000 trips for passengers across all weather conditions, and it happens without anyone behind the wheel.
Most recently, we launched a second driverless taxi service in Skolkovo in October 2018.
In August 2018, we launched a driverless taxi service for everyday trips in Innopolis, a city in the Republic of Tatarstan.
Attendees at this year’s edition of the Moscow International Auto Salon has the opportunity to take a driverless ride from Yandex.Taxi.
streets
In February 2018, we shared video of one of our cars navigating itself through Moscow’s Khamovniki district after a heavy snowfall.
Yandex demonstrated its driverless technology for more than 700 attendees at the 2018 edition of its large annual event, Yet Another Conference.
In June 2018, a car outfitted with our technology successfully drove itself from Moscow to Kazan, covering 480 miles in 11 hours.
JOIN OUR TEAM
We invite you to participate in creating the self-driving vehicles that will change the way the world moves. We dare to challenge the long-established model for how people interact with cars, and demonstrate by example that new technologies can make autonomous travel perfectly safe.
Head of Yandex Self-Driving Cars
Head of Business Development
Head of Engineering
Head of Product
WE WANT TO HEAR FROM YOU!
We are open to collaboration with businesses, local governments, and schools interested in using and testing autonomous vehicles. Our self-driving cars can safely navigate geofenced areas on roads with light or moderate traffic. They’re equally at home in small cities, university campuses, or on company premises. We are also interested in working with automotive manufacturers and suppliers to bring self-driving vehicles to public market. Please contact us if that should pique your interest.