Laser-based counting and classification

Swiss company ECTN has developed a Traffic Information Collector (TIC) system based on laser scanners. 3D vehicle data is generated by positioning the lasers over each lane, to automatically classify vehicles. Up to 28 different vehicle classes are categorised into standard classification tables, such as TLS5+1, TLS8+1, Swiss 10.
February 1, 2012 Read time: 1 min
Swiss company 535 ECTN has developed a Traffic Information Collector (TIC) system based on laser scanners. 3D vehicle data is generated by positioning the lasers over each lane, to automatically classify vehicles. Up to 28 different vehicle classes are categorised into standard classification tables, such as TLS5+1, TLS8+1, Swiss 10. According to the company, the best classification accuracy (>99 per cent) is obtained by using two laser scanners per lane, but an alternative installation requires one scanner per two lanes.

The system is also a free-flow dimensioning system of vehicles measuring height, width, length and velocity in a speed range up to 250km/h. The resulting data can be used for traffic control, traffic management and security surveillance applications. The system is also available as a portable version that can be installed on a bridge or gantry over the road within minutes.
Detection, Monitoring & Machine Vision Classification & Data Collection

For more information on companies in this article

Related Content

  • Proposed system to take guesswork out of choosing a freeway lane
    March 17, 2014
    A fledgling advanced lane management assist system can take the guesswork out of selecting the right lane on a congested freeway, as its inventor Robert Gordon explains. As drivers we’ve all done it and control room staff see it all the time – motorists on congested freeways switching into what they perceive is a faster lane, only to come to a halt a few moments later and watch vehicles in the other lanes continue to move past. Now, by re-analysing readily available data in an advanced lane management as
    Read More
  • ITS asset management matters
    April 26, 2013
    Maintenance of on-road ITS kit needs to become more sophisticated; while new technologies can deliver better road maintenance. David Crawford investigates both sides of the issue "Good information is key to effective ITS asset maintenance,” says Ian Routledge of the Ian Routledge Consultancy (IRC), whose Imtrac (Information Management for TRAffic Control) system is poised for European expansion. Developed as an ‘intelligent filing cabinet’ for storing information about on-road equipment, the online database
    Read More
  • IRD trusts in AI for traffic count and classification
    October 13, 2020
    IRD has announced its iTheia video-based traffic counting and classifying system that uses artificial intelligence (AI). Instead of classifying vehicles based solely on axle spacing or vehicle length parameters, iTheia classes vehicles based on visual input and a machine learning algorithm.
    Read More
  • Growth of ANPR applications for enforcement, tolling and more
    February 1, 2012
    Automatic number plate recognition continues to find new applications beyond the traditional. In coming years, we can expect the application set to grow significantly Moore's Law has seen to it that computer processing power has improved out of all comparison in the 30-plus years since the first working Automatic Number Plate Recognition (ANPR) system was created by the UK's Police Scientific Development Branch. The attendant increases in systems' capabilities have resulted in ANPR being deployed globally
    Read More

Highlighted Content