The research group is working on research, development, and implementation of autonomous vehicles, industrial mobile robotics, and smart city testbed. In particular, we work on autonomous driving technologies for self-driving vehicles, simulations and validations in terms of safety, usability and edge case detection, mapping and virtual environment creation based on lidar and camera data from UAVs, smart city testbed development and user experiments in the future urban environment.

The main objective is to research and develop self-driving vehicles and autonomous mobile robots which are focused on automating the transportation and delivery tasks by autonomously transporting and delivering people, materials, and products in urban and industrial environments in a safe and reliable way.

The wider vision and objective of autonomous vehicle research and development is to introduce a small scale future city environment into the university campus, where autonomous vehicles are in the focus. Whether these vehicles are small package transfer robots, mid-size autonomous agricultural vehicles or full-scale self-driving cars. The main research activity in autonomous vehicles lab is the development of a last-mile type vehicle in cooperation with industry. As a result of the project, a last-mile AV shuttle is built from scratch and is used for research and education purposes for the whole university as well as targeted to commercialization for the company. The vehicle is fully autonomous and is built on open-source software solutions.

Research partners and organizations

Advanced Mobility Institute at Florida Polytechnic University

Florida Poly’s Advanced Mobility Institute (AMI) is a university-affiliated research center focused on advancing and testing AV technology. AMI is the only of its kind in the state and is but one of the largest university centers specialized on the narrow area of testing and verification of AV technology in the country.

The agreement between Florida Poly and TalTech furthers development of AV technology within downtowns and university campuses, as well as other controlled settings where driverless technology can be better controlled. It also creates work and study opportunities to support the implementation and testing of this technology, along with promoting education and outreach efforts regarding its applications.

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Autoware Foundation

The Autoware Foundation (AWF), the open alliance for autonomous driving technology, welcomed 8 companies in the past quarter from all over the world including Taiwan, Japan, India, Estonia and the US. Since the establishment of the AWF in December 2018, the AWF has made significant efforts to build a genuinely open alliance community for self-driving intelligent mobility for everyone. With our mission – initiate, grow, and fund Autoware projects – in mind, we will continue our exciting journey with 40 members.
“Autoware is a true leader in open-source autonomous driving software and TalTech is excited to join to Autoware Foundation. Thanks to Autoware our joint team were able to build a Level 4 AV shuttle ISEAUTO with one year – the achievement which would never be possible without Autoware. Our team, academic staff, and students are eager to contribute to Autoware and ROS2 development to make autonomous driving smarter and safer. The collaboration matters most and the open-source automotive solution is the best way to go.”
— Raivo Sell, Head of Autonomous Vehicles Lab, Tallinn University of Technology (TalTech)

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The International Alliance for Mobility Testing & Standardization (IAMTS)

IAMTS is an SAE ITC (Industry Technologies Consortia) program. The SAE ITC team specializes in establishing and managing consortia by providing proven processes, tools and resources. ITC enables public, private, academic and government organizations to connect and collaborate in neutral, pre-competitive forums thus empowering the setting and implementation of strategic business improvements in highly engineered industries globally.

Open positions

Guest researchers and fellows

We are accepting researchers, Ph.D and master students to work in our lab for short or long term visits. Erasmus and exchange students are welcome as well as post-docs and semester project master students.

In the case of interest, please study first on our on-going projects and research background. 

Necessary competence:

  • Basic knowledge of mechanical engineering, electronics and software development
  • Advanced knowledge of electrical engineering or computer science
  • Practical experience of ROS, ROS2, or embedded systems

Open Ph.D position

No open positions currently availabe

Apply here

Open post-doc position

Title: Self-driving vehicle behaviour in complex urban environments

The research is focusing on the following general topics:

  • Autonomous driving algorithms
  • Decision making based on fused sensor input
  • Co-operational behavior based on V2V and V2X

Requirements:

  • Ph.D in Robotics, Mechatronics, ICT or similar engineering program
  • Experience in programming C/C++
  • Experience with ROS
  • Good English and communication skills

Recommended knowledge:

  • Autoware
  • Microcontrollers
  • Simulation tools
  • Electrical engineering

Please send your motivation letter and CV to raivo.sell@taltech.ee

Journal Papers



Udal, Andres; Jürise, Martin; Kaugerand, Jaanus; Sell, Raivo (2020). COMSPECT: A compact model for green vegetation reflection spectra in 400 – 900 nm wavelength range. Proceedings of the Estonian Academy of Sciences, 69 (4)

Wang, R.; Sell, R.; Rassõlkin, A.; Otto, T.; Malayjerdi, E. (2020). Intelligent Functions Development on Autonomous Electric Vehicle Platform. Journal of the Machine Engineering, 20 (2), 114−125.10.36897/jme/117787.

Sell, R.; Leier, M.; Rassõlkin, A.; Ernits, J.-P. (2020). Autonomous Last Mile Shuttle ISEAUTO for Education and Research. International Journal of Artificial Intelligence and Machine Learning, 10 (1), 18−30.10.4018/IJAIML.2020010102.

Sell, R.; Rassõlkin, A.; Wang, R.; Otto, T. (2019). Integration of autonomous vehicles and Industry 4.0. Proceedings of the Estonian Academy of Sciences, 68 (4), 389−394.10.3176/proc.2019.4.07.


Sell, R.; Väljaots, E.; Pataraia, T.; Malayjerdi, E. (2019). Modular smart control system architecture for the mobile robot platform. Proceedings of the Estonian Academy of Sciences, 68 (4), 395−400.10.3176/proc.2019.4.08.

Väljaots, E.; Sell, R. (2019). Energy efficiency profiles for unmanned ground vehicles. Proceedings of the Estonian Academy of Sciences, 68 (1), 55−65.10.3176/proc.2019.1.04.

Rassõlkin, A.; Sell, R.; Leier, M. (2018). Development case study of the first Estonian self-driving car, ISEAUTO. Electrical, Control and Communication Engineering, 14 (1), 81−88.10.2478/ecce-2018-0009.

Sell, Raivo; Petritsenko, Andres (2013). Early design and simulation toolkit for mobile robot platforms. International Journal of Product Development, 18, 2, 168−192.10.1504/IJPD.2013.053499.

Sell, Raivo; Seiler, Sven (2012). Improvements of Multi-disciplinary Engineering Study by Exploiting Design-centric Approach, Supported by Remote and Virtual Labs. International Journal of Engineering Education, 28 (4), 759−766.

Sell, Raivo; Leomar, Priit (2010). Universal Navigation Algorithm Planning Platform for Unmanned Systems. Solid State Phenomena, 164, 405−410.

SAE Edge Report contribution


Razdan,R.; Sell,R.; Tino,C.; Schmidt,B.; Akbas,M.; Cherian,J.; Boer,N. (2020).
Unsettled Topics Concerning Autonomous Public Transportation Systems. SAE Technical Paper Series

Razdan, R.; Mahoney, W.; Haritan, E.; Kalia, A.; Smith, J.; Zarola, T.; Akbas, I.; Taiber, J.; Straub, E.; Sell, R. (2020).
Unsettled Topics Concerning Automated Driving Systems and the Development Ecosystem. SAE Technical Paper Series.

Razdan, R.; Lumina, J.; Balachandran, A.; Cheng, C.; Sreenivas, S.; Fernando, X.; Taiber, J.; Kalia, A.; Keel, N.; Zuby, D.; Krishnan, K.; Langer, D.; Sell, R. (2019).
Unsettled Technology Areas in Autonomous Vehicle Test and Validation. SAE Technical Paper Series.10.4271/EPR2019001.

Taiber, J.; Sell, R.; Shorten,R.; Kraus, A.; Baxter, D.; Grosse, R.; Pfliegl, R.; Martin,J.; Yager, M.; Kelley, S.; Kramer, H.; Bonomi, F. (2019).
Unsettled Impacts of Integrating Automated Electric Vehicles into a Mobility-as-a-Service Ecosystem and Effects on Traditional Transportation and Ownership. SAE Technical Paper Series.10.4271/EPR2019004.

Links

Raivo Sell ORCID iD https://orcid.org/0000-0003-1409-0206