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Tallinn University of Technology (TalTech), Autonomous Vehicles research group, Estonia, is a public university. We offer high-level research and experimental environment for PhD students and researchers on autonomous driving, simulations, cybersecurity and sensor technology.

Value Proposition

TalTech Autonomous Vehicles research group focuses on the experimentation of advanced autonomous driving functions on L4 robobus vehicles. We contribute to developing Autoware Universe upgrades and run early experiments on the real vehicle. In our campus test track, researchers and partners can perform various autonomous driving tests, including teleoperation, V2X, cybersecurity, and connectivity (using our private 5G network).

Technology Description

The research group is working on developing and implementing autonomous vehicles, industrial mobile robots, and smart city testbeds. In particular, we work on autonomous driving technologies for self-driving vehicles, simulations and validations regarding safety, usability and edge case detection, mapping and virtual environment creation based on lidar and UAV camera data.

We are looking forward to cooperating and sharing our experience in the following topics:

  • Expertise and competence in self-driving cars;
  • Smart City experiments, including V2X, 5G and HMI;
  • Simulations and virtual environment generation;
  • Areal mapping and imaging with UAVs;
  • Development of autonomous mobile robots;
  • On-site and online courses about practical robotics, IoT and autonomous vehicles.

In terms of research, our main focus is:

  • Advanced autonomous vehicle functions for safety improvements in an urban mobility context
  • Cyber-physical control systems for self-driving vehicles
  • Sensor fusion and object segmentation for autonomous driving
  • Scenario-based validation of safety and performance of an autonomous shuttle by software in loop simulation method
  • Mobility as Service – micro-mobility in the smart city
  • Cyber-assured autonomous transportation systems
  • Multi-agent planning for driverless vehicles in smart cities