Skip to main content

3D detection innovation

Canadian company Leddar Tech has announced what it says is the industry's first and only optical detection and ranging product based on the time-of-flight principle. The company says the patent-pending solution provides unique advantages and benefits for optimising traffic management.
February 3, 2012 Read time: 2 mins
Canadian company Leddar Tech has announced what it says is the industry's first and only optical detection and ranging product based on the time-of-flight principle. The company says the patent-pending solution provides unique advantages and benefits for optimising traffic management.

The Leddar d-tec (Light Emitting Diode Detection And Range) detector emits non-visible light into the area of interest and measures the time taken for the light to reflect. Thanks in part to the speed of light, it provides very accurate 3D information as well as excellent lateral positioning of detected objects in the field of view, enabling the system to precisely detect objects of variable dimensions. In addition, since the acquisition information is compiled thousands of times per second, Leddar d-tec is able to provide robust detection in adverse weather and lighting conditions.


As Leddar Tech points out, its innovative solution consistently and accurately detects vehicles of all types, including motorcycles and bicycles in all weather conditions, at any time of the day. The system also uses direction of travel of vehicles, thereby preventing false calls to traffic signal controllers.

Leddar d-tec was designed to ensure fast and user-friendly installation. This non-intrusive solution can be mounted directly to current traffic infrastructure without the need to install additional mounting poles since the device is not influenced by the horizon. Moreover, the company's engineering team have integrated an onboard image processor to assist engineers and technicians by making it possible to remotely align Leddar d-tec. A value-added feature of the onboard image processor is the capability of transmitting video images back to the traffic operations centre.

Made of robust, high-quality materials, the Leddar d-tec enclosure is waterproof and designed to withstand the worst in adverse or extreme weather conditions.

Related Content

  • Real-world testing is needed in wake of VW emissions scandal, says expert
    November 18, 2015
    As vehicle manufacturers, regulators and governments around the world seek solutions to prevent another emissions cheating scandal similar to the Volkswagen case, a major vehicle emissions inspection company has compiled and analysed on-road emissions data indicating that emissions violations of vehicles under real-world driving conditions may well go far beyond VW diesels. Opus Inspection says a two-pronged approach that continuously monitors real-world emissions is the only effective remedy. Lothar Ge
  • Flir smart traffic management in Darmstadt
    October 20, 2015
    Part of a larger urban zone, the city of Darmstadt near Frankfurt, Germany, does not escape the problems of traffic congestion. In a bid to improve the situation, the city’s traffic authorities have installed more than 200 video detectors from Flir Systems, along with Flir’s video management system, Flux, which monitors the traffic streams coming from a wide variety of cameras. The city is also using various types of video sensors for vehicle, pedestrian and cycle detection, all of which are used to con
  • Axis aids incident detection on French viaduct
    October 31, 2016
    France’s first AID system has halved attendance time on the Calix Viaduct. TheCentre for Traffic Engineering and Management (CIGT) at Caen in northern France manages 367km of the national network in the Manche/Calvados district including the 1.2km long, 15-span Calix Viaduct across the Canal de Caen à la Mer.
  • Daimler’s double take sees machine vision move in-vehicle
    December 13, 2013
    Jason Barnes looks at Daimler’s Intelligent Drive programme to consider how machine vision has advanced the state of the art of vision-based in-vehicle systems. Traditionally, radar was the in-vehicle Driver Assistance System (DAS) technology of choice, particularly for applications such as adaptive cruise control and pre-crash warning generation. Although vision-based technology has made greater inroads more recently, it is not a case of ‘one sensor wins’. Radar and vision are complementary and redundancy