Skip to main content

SICK launches all-weather 3D sensor system for traffic management

Sick has launched the TIC502 Lidar sensor traffic and warning system which is said to scan vehicles up to 100 times a second with 99% accuracy to generate a 3D profile of each vehicle. The all-weather solution can be used for counting fast lane, free-flowing and static traffic to facilitate real-time management and electronic toll charge assessment of all vehicle types according to standard international transport classifications. TIC502 has a range of up to 40 metres and minimum mounting height of 1.5
January 29, 2018 Read time: 2 mins

536 Sick has launched the TIC502 Lidar sensor traffic and warning system which is said to scan vehicles up to 100 times a second with 99% accuracy to generate a 3D profile of each vehicle. The all-weather solution can be used for counting fast lane, free-flowing and static traffic to facilitate real-time management and electronic toll charge assessment of all vehicle types according to standard international transport classifications.

TIC502 has a range of up to 40 metres and minimum mounting height of 1.5 metres above the tallest vehicle. It aims to provide a vehicle class assignment better than 98% and speed assessment accuracy is +/- 3kph up to 100kph, and +/- 3% above 100kph.

Vehicle class is measured according to TLS8+1, TLS5+1, TLS2+1 or Swiss10, into up to 30 different classes. The 3D view of traffic is integrated into a display and autocalibrated with moving traffic.

Additionally, the solution comes with a high all-weather capability between -40oC and +60oC and can also be combined with an additional 2D Lidar sensors to count axles for traffic profiling and assessment.

The traffic controller automatically stores a data history of the last 50 vehicles detected which is sent to storage in the user’s system via FTP or UNC transmission.

Neil Sandhu, SICK’s National product manager for imaging, measurement, ranging and systems, said: “The TIC502 generates 3D profiles and combines comprehensive and highly reliable data and warnings with excellent availability in all weather and all seasons. The unit can also be easily retrofitted on structures such as overhead gantries, bridges or tunnel entrances to upgrade existing traffic monitoring and control.

“The facility for adding an extra Lidar sensors to the TIC502 allows accurate axle counting, which is often used for improved toll assessment of very heavy transport vehicles, without needing the use of a full vision system.”

For more information on companies in this article

Related Content

  • New Prosilica GT camera range
    January 31, 2012
    Allied Vision Technologies (AVT) has launched Prosilica GT, a new range of GigE Vision compliant digital cameras designed to perform in extreme environments and fluctuating lighting conditions. The company says the range offers new advanced features well suited for outdoor installations such as ITS and traffic monitoring, public security and surveillance. Designed to minimise field maintenance by surviving extreme weather events, the Prosilica GT features a rugged thermal housing for maximum heat dissipat
  • Hackers can fool self-driving car sensors into evasive action
    September 8, 2015
    The laser ranging (LIDAR) systems that most self-driving cars rely on to sense obstacles can be hacked by a setup costing just US$60, a security researcher has told IEEE spectrum. According to Jonathan Petit, principal scientist at software security company Security Innovation, he can take echoes of a fake car, pedestrian or wall and put them in any location. Using such a system, which he designed using a low-power laser and pulse generator, attackers could trick a self-driving car into thinking somethin
  • Popularity of semi-autonomous vehicles 'helping to drive the LiDAR sensor market'
    June 9, 2017
    Research published by MarketsandMarkets predicts that the LiDAR sensor automotive market is expected to grow from an estimated US$735 million in 2025 to a projected US$2,557 million by 2030, at a CAGR of 28.32 per cent during the forecast period.
  • Popularity of semi-autonomous vehicles 'helping to drive the LiDAR sensor market'
    June 9, 2017
    Research published by MarketsandMarkets predicts that the LiDAR sensor automotive market is expected to grow from an estimated US$735 million in 2025 to a projected US$2,557 million by 2030, at a CAGR of 28.32 per cent during the forecast period.