Yandex.Taxi Unveils Self-Driving Car Project

Yandexs on-demand transportation service Yandex.Taxi has developed a self-driving car prototype as a first step towards a comprehensive set of driverless technologies for applications across a wide range of industries. Yandex.Taxis driverless car incorporates Yandexs homegrown technologies such as mapping, real-time navigation, computer vision and object recognition, which have been powering a range of Yandex services for years.

Yandexs on-demand transportation service Yandex.Taxi is thrilled to unveil its autonomous car project powered by machine learning. Yandex has developed a self-driving car prototype as a first step towards a comprehensive set of driverless technologies for applications across a wide range of industries.

Yandex.Taxis driverless car incorporates Yandexs homegrown technologies such as mapping, real-time navigation, computer vision and object recognition, which have been powering a range of Yandex services for years. Yandex.Taxis self-driving vehicle has the intelligent capabilities to "make decisions" in complex environments, such as busy city traffic, thanks to our machine learning and proprietary computing algorithms.
"Self-driving cars are set to revolutionalise the way we commute within a matter of a decade," says Dmitry Polishchuk, head of Yandex.Taxi's Self-Driving Project. "At this point in time, there are dozens of companies around the world building their own driverless cars, but only a few of them have components crucial for turning this project into reality. These components include a stack of reliable technologies and algorithms, engineering expertise and resources, and access to the market for self-driving vehicles. Yandex.Taxi, with the backing of Yandex, is one of the few players who can boast of possessing all of the above."
Yandex.Taxis efforts in developing the self-driving car technology aim at creating a fully-fledged autopilot functionality with no human intervention. The autopilot functionality would be considered a Level 5 on the classification system for automated vehicles. This classification system, which is universally accepted in this industry, classifies all self-driving cars by levels 0 through 5, where Level 0 means a person has full control over a vehicle, and Level 5 involves no human intervention.
Yandex.Taxi will continue experimenting and improving its self-driving technology by enhancing and implementing Yandex maps, navigation and route planning to the project. Testing on public roads will begin next year.
As Yandex.Taxi test-drives its self-driving service, Yandex welcomes opportunities to partner with automotive manufacturers and other companies interested in putting autonomous car technology on the road.

Featured Product

IP Seals for Robots

IP Seals for Robots

Freudenberg Sealing Technologies' IPRS (Ingress Protection Seals for Robots) provides reliable protection for robotic systems operating in harsh environments. Designed to prevent dust, moisture, chemicals, and wear from compromising performance, IPRS extends service life and reduces maintenance. The adaptive Z-shaped geometry ensures sealing integrity under continuous motion, making it ideal for high-speed automation and outdoor applications. Manufactured with high-performance elastomers such as Fluoroprene XP and EPDM, IPRS offers exceptional resistance to lubricants, cleaning agents, and extreme temperatures. This makes it the perfect solution for six-axis robots, SCARA robots, AMRs, AGVs, and cobots. With its low-friction design and durable materials, IPRS enhances energy efficiency and operational reliability in industrial and autonomous robotics. Learn more about our IPRS Seals