Skip to main content

Utah intersection Lidar traffic management from Seoul Robotics

Firm says signals at Salt Lake City installation are first to be Lidar-controlled in US
By Adam Hill July 8, 2024 Read time: 2 mins
Lidar sensors are at each corner of the intersection, and create a digital twin (image: Seoul Robotics)

Seoul Robotics has deployed its Lidar-powered traffic signal system in Utah, US.

Installed at the junction of State Street and 5900 South in Murray, Salt Lake City, this is the first intersection in the US where traffic signals are controlled directly by Lidar technology, Seoul Robotics says.

The Utah Department of Transportation (UDoT) wanted advanced sensor technology that can detect, count and track vehicles and other road users under any weather conditions. 

The installation is powered by Seoul Robotics' 3D Perception engine, housed in a compact edge device, with Lidar sensors at each corner of the intersection, which create a digital twin which feeds data to optimise traffic flow and reduces congestion.

Local distributor Gades Sales Company has ensured the system is integrated into local infrastructure, while Blue Band's software translates the data from the 3D Perception Engine into signal commands compatible with existing traffic controllers. 

Seoul Robotics says the solution "mounts directly onto existing infrastructure without significant road work and infrastructure changes". 

Traffic management features include precise stop-bar detection, advanced vehicle detection up to 300 feet from the stop bar, and red-light running. The system has a vehicle counting accuracy of 99.8% at the stop bar, the firm says.

 "Since its installation, our Lidar-based traffic management system has consistently demonstrated excellent detection and tracking of objects, ensuring reliable performance across all weather conditions," says Lee Han-bin, CEO of Seoul Robotics.

"This technology not only meets but exceeds the demands of modern traffic systems."

As well as vehicle flow, the system is designed to accurately count and monitor vulnerable road users, such as pedestrians and cyclists at crosswalks and kerbsides.

Seoul Robotics says deep learning and 3D computer vision ensure that all perceived objects are accurately tracked and classified in real time, enhancing safety and traffic flow across multiple road user types.

For more information on companies in this article

Related Content

  • Iteris unveils AI detection solution
    November 23, 2021
    Vantage Apex combines combines FHD video, radar and AI in hybrid traffic solution
  • Transportation applications move to machine vision’s mainstream
    June 11, 2015
    The adaptation of machine vision to transport applications continues apace. That the machine vision industry is taking traffic installations seriously is evident by the amount of hardware and software products tailor-made for ITS applications that are now available on the market. A good example comes from US-based Gridsmart Technologies which has developed a single wire fisheye camera that provides a horizon to horizon view for use at intersections. Not only does the single camera replace four or more in a
  • Road safety systems on show at ITS World Congress
    January 30, 2012
    A vast array of new products and systems for aiding road safety were displayed at the ITS World Congress in October. David Crawford assesses a selection of safety initiatives exhibited in Orlando. Vital roles for ITS applications in road traffic safety emerge clearly from a new report from the US Transportation Safety Advancement Group. The report has been carried out for the Next Generation 911 What's Next Forum, which is preparing the way for future development of the US national 911 emergency single call
  • Integrate systems to reduce roadside infrastructure
    January 27, 2012
    David Crawford reviews promising current developments. Instrumentation of the road infrastructure has grown to become one of the most dynamic sectors of the ITS industry. Drivers for its deployment include global concerns over the commercial and environmental pressures of traffic congestion, the importance of keeping drivers informed throughout their journeys, and the need to reduce accident rates and promote the safety of all road users, for example by enforcing traffic safety rules.