Intelligent Transport Systems (ML + Machine vision)

DEVELOPED FOR
Mid-to-large Asian passenger vehicle OEMs

01 · The challenge

A transport network that sees what humans see and reacts faster

Most autonomous driving solutions today are difficult to scale:

  • they depend on proprietary hardware
  • require deep vehicle modification
  • often fail to perform consistently across different road and weather conditions
For operators looking to upgrade existing fleets – in cities, private logistics, or public transport – these limitations translate into high costs and low flexibility.

02 · The Solution

A perception platform built for production vehicles

A proprietary software platform has been created to transform production vehicles into fully autonomous systems – without any changes to the vehicle’s architecture. The system connects directly via standard CAN-bus protocols and does not require additional control units or external electronics.

Deployment Across Vehicle Types

  • KIA Soul EV
  • Hyundai Solaris
  • Toyota Prius
  • Hyundai Santa Fe
  • Heavy-duty truck platforms
The Hyundai Santa Fe platform has completed 22,000+ km in autonomous mode

Validation

100,000+ km of full autonomous driving validated across diverse real-world environments.

System Maturity

4 years of systematic optimization focused on robust and seamless hardware integration.

Operational Coverage

Reliable performance in day and night conditions, including rain and snow, across urban and unstructured terrain.

Impact

Technology has been validated across 5 different vehicle types and successfully commercialized to eliminate hazardous zones and routine tasks for human personnel.

03 · Industrial Directions

From the lab into the field

The technology has been implemented and licensed by major logistics operators, with a particular focus on secure environments with limited external access, such as large distribution hubs and private industrial zones.

Originally designed for autonomous urban mobility, corporate fleets, and next-generation public transport, the solution enables rapid deployment on existing vehicle platforms.

Related Projects

Explore our innovative research work

Discover a selection of our key projects that highlight our commitment to advancing education through research.

Research Team

Meet Our PIs

Discover our teams diverse expertise and how their qualifications drive innovative solutions in education and research.

Prof. Dr. Alexander Tormasov

Open Vacancies

Join our team working on cutting-edge autonomous transport systems. Explore opportunities in machine learning, computer vision, and robotics.