Skip to main content

LeddarTech launches automotive grade Lidars for ADAS

LeddarTech’s detection and ranging technology can be integrated into standard automotive components such as headlamps, rear lamps or side view mirrors, to enable optimised advanced driver assistance systems (ADAS) sensing solutions. The company’s optical detection technology can be incorporated into integrated circuits and uses semiconductor light sources such as infrared emitters and pulsed laser diodes. With a range of 150m and above, multi-segment detection and a field of view from 9° to 180°, Leddar sa
February 24, 2016 Read time: 1 min
84 LeddarTech’s detection and ranging technology can be integrated into standard automotive components such as headlamps, rear lamps or side view mirrors, to enable optimised advanced driver assistance systems (ADAS) sensing solutions. The company’s optical detection technology can be incorporated into integrated circuits and uses semiconductor light sources such as infrared emitters and pulsed laser diodes.

With a range of 150m and above, multi-segment detection and a field of view from 9° to 180°, Leddar says its technology overcomes many limitations of traditional fixed-beam Lidars.

For more information on companies in this article

Related Content

  • 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
  • Highly automated driving ‘to spark adoption of centralised ADAS’
    August 18, 2016
    As vehicles become highly independent and begin to drive and react to traffic on their own, autonomous systems will aggregate and process data from a variety of on-board sensors and connected infrastructure, says ABI Research. This forces the industry to hit a hard reset on advanced driver assistance systems (ADAS) architectures, currently dominated by distributed processing and smart sensors. Automotive OEMs will need to adopt new platforms based on powerful, centralised processors and high-speed low la
  • Parifex selects Quanergy for Lidar deal
    July 20, 2021
    Parifex will use Quanergy M-Series 3D Lidar sensors in Vigie Double-Side enforcement system
  • V2X: The design challenges
    May 2, 2018
    The connected future throws up a number of enticing possibilities for us all. But, says Houman Zarrinkoub of MathWorks, issues around visualisation, prototyping and model evolution need to be examined carefully. We are all aware of the huge amount of investment going into driverless car technologies. With the likes of Volvo, Tesla and BMW getting in on the act, soon they will be a common sight on our roads. However, for this to occur, the vehicles must be able to connect with each other and ensure driver