Skip to main content

Bolt partners with Tartu University on self-driving tech

Ride-sharing company Bolt has joined forces with the University of Tartu (UT) in Estonia to develop technology for SAE Level 4 autonomous vehicles (AV). The partners intend to carry out AV pilots in urban areas and integrate AVs onto Bolt’s on-demand transportation platform by 2026. Jevgeni Kabanov, chief product officer at Bolt - formerly Taxify - says: “Rather than developing our own vehicle, the goal of this project is to build our self-driving technology with a focus on software and maps, on top of ex
September 5, 2019 Read time: 2 mins

Ride-sharing company Bolt has joined forces with the University of Tartu (UT) in Estonia to develop technology for 567 SAE Level 4 autonomous vehicles (AV).

The partners intend to carry out AV pilots in urban areas and integrate AVs onto Bolt’s on-demand transportation platform by 2026.

Jevgeni Kabanov, chief product officer at Bolt - formerly Taxify - says: “Rather than developing our own vehicle, the goal of this project is to build our self-driving technology with a focus on software and maps, on top of existing platforms and open-source software.”

Anne Jääger, head of industry collaboration at UT institute of computer science, says: “Our scientists will support Bolt in developing self-driving vehicle-based services and by involving students in lab experiments we’ll prepare them for future careers in the field of autonomous technologies.”

Vehicles equipped with self-driving technology are expected to be deployed for road tests in early 2020.

For more information on companies in this article

Related Content

  • Regulation time-lag will hit driverless technology hard says leading consultancy BDO
    August 8, 2018
    The legislation surrounding driverless cars is lagging so far behind the technology involved that the industry is unlikely to see a regulatory framework in place any time soon says leading international business, finance and taxation consultancy BDO. And IEEE, "the world’s largest technical professional organisation dedicated to advancing technology for the benefit of humanity" can only see problems ahead as the politicians fall further and further behind. BDO has been looking at a report from www.Spectr
  • Detection analysis technology successfully predicts traffic flows
    February 3, 2012
    David Crawford investigates new detection analysis technology from IBM. Locations on both the East and West Coasts of the US are scheduled for early deployments of IBM's new Traffic Prediction Tool (TPT) statistical analysis model for the fine-time resolution and near-term prediction of road flow conditions. Developed by IBM's Watson Research Laboratories, TPT is designed to analyse data from the the key detection indicators - average vehicle volumes and speeds passing a location in a given time interval -
  • Self-driving cars ‘could make traffic congestion worse’
    September 26, 2017
    The University of Sydney has released the results of a survey that indicates that Australian drivers are unlikely to share their vehicles with other travellers and increasing congestion, contrary to predictions made by transport experts and the motor industry. The University’s University of Sydney Business School’s latest Transport Opinion Survey, conducted by the School’s Institute of Transport and Logistic Studies
  • On-road and in-vehicle are not in competition
    May 18, 2018
    The integrity and accuracy of data that can be verified by weigh-in-motion technology has been improving for decades – and the range of WIM applications is increasing at a tremendous pace. Chris Koniditsiotis, president of the International Society for Weigh-in-Motion (ISWIM) and CEO of Transport Certification Australia (TCA), began his career in 1985 as a pavements engineer. “When I joined this portfolio, the integrity, accuracy, and sampling frequency of mass information delivered at best an estimate, us