Skip to main content

Cyclist safety on track in Salzburg with Seoul Robotics Lidar

Company has partnered with ALP.Lab to better understand vehicle/VRU interactions
By Adam Hill November 13, 2023 Read time: 2 mins
Lidar solution is deployed at junctions in Salzburg to help protect cyclists (© Michal Durinik | Dreamstime.com)

Seoul Robotics has partnered with an Austria-based test laboratory for automated driving systems.

The tie-up with ALP.Lab is designed to provide 3D perception traffic safety systems for the Dach region (Germany, Austria and Switzerland) and central Europe. 

The companies have developed a Lidar-based system, which is currently deployed at accident-prone intersections in Salzburg to better understand interactions between vulnerable road users - such as cyclists - and vehicles.

Salzburg Research and urban mobility lab Zukunftswege.at are using it at two high-risk intersections with multiple bike lanes.

“Based on the comprehensive data gained, we can analyse road user behaviour and conflict situations and derive valuable insights, which generally contribute to an increase in road safety for all road users and specifically enable improvement measures at the analysed intersection,” said Siegfried Reich, MD at Salzburg Research.

“With the help of our real-world laboratory environment, results from the tests can be passed on directly to the city and state of Salzburg as the responsible regional authorities,” said Christian Kainz, project manager of Zukunftswege.at.

"Road design plays an enormous role in user safety and until recently, there’s been very limited quality data that can decipher the chaos and show us where we need to improve,” said Christoph Knauder, manager operations at ALP.Lab. 

“This is especially true for cyclists which are a major pain point in Europe’s mission towards zero road deaths by 2050. We’re excited to grow our partnership with Seoul Robotics so that more cities across Europe can get the insights they need to build smarter, safer roads.”

Each Salzburg intersection has been equipped with four sensors and a Lidar processing unit running Seoul Robotics’ sensor-agnostic 3D perception software, SENSR, which can detect, track, and classify hundreds of street-level objects. 

“Improving safety for cyclists and pedestrians not only reduces road fatalities, but also encourages active mobility which reduces congestion, emissions, and generally leads to a healthier population,” said William Muller, vice president of business development at Seoul Robotics. 

“Together with ALP.Lab, we’re helping Salzburg create a blueprint for mobility solutions and generating huge amounts of quality data for further custom processing and smart city applications.”

For more information on companies in this article

Related Content

  • Aptiv: the world needs smarter cities
    March 18, 2020
    As the world’s population migrates to ever-larger urban areas, Aptiv’s Ingo Stuermer believes that a number of ITS technologies will encourage mobility to power change for smarter cities
  • First-of-a-kind collaboration to analyse real-time traffic patterns and individual commuter travel history
    February 3, 2012
    IBM has announced a new collaboration with the California Department of Transportation (Caltrans) and California Center for Innovative Transportation (CCIT), a research institute at the University of California, Berkeley, to develop an intelligent transportation solution that will help commuters avoid congestion and enable transportation agencies to better understand, predict and manage traffic flow.
  • Speed limits: is 20 really plenty?
    June 16, 2020
    Speed kills – which means cutting speed should cut collisions. But is it that simple?
  • Camera technology a flexible and cost-effective option
    June 7, 2012
    Perceptions of machine vision being an expensive solution are being challenged by developments in both core technologies and ancillaries. Here, Jason Barnes and David Crawford look at the latest developments in the sector. A notable aspect of machine vision is the flexibility it offers in terms of how and how much data is passed around a network. With smart cameras, processing capabilities at the front end mean that only that which is valid need be communicated back to a central processor of any descripti