LeddarTech and Seoul Robotics partner on Lidar AI vision

By William Smith
The Quebec City-based LeddarTech is to work with Seoul Robotics, which hails from the South Korean capital, on processing Lidar data...

LeddarTech, a provider of environmental sensors for use in autonomous vehicles, has announced a partnership with AI computer vision firm Seoul Robotics.

The Quebec City-based LeddarTech is to work with Seoul Robotics, which hails from the South Korean capital, on combining their hardware and software offerings, utilising the latter firm’s Lidar data processing platform.

Sensing with light

Lidar technology was famously spurned by Tesla in its own pursuit of driverless cars, but is nevertheless used by the majority of competitors. The visual equivalent of radar, lidar involves measuring distances by shining a laser on an object and sensing its reflection. Extant since the 1960s, the technology found uses in many geographical pursuits such as surveying before being harnessed for autonomous vehicles.

“By partnering with Seoul Robotics, a respected leader in 3D perception software for LiDAR sensors, LeddarTech and our customers benefit from Seoul Robotics’ advanced and innovative LiDAR-based perception technology,” said Charles Boulanger, CEO of LeddarTech. 

“The collaboration yields a solution to greatly ease and accelerate the integration of the Leddar Pixell in a wide range of applications in mobility and industrial markets.”

The Leddar Pixell

LeddarTech’s implementation of the technology is known as the Leddar Pixell, which offers a 180 degree sensor capable of detecting objects and other road users and is intended for use in everything from robotaxis to commercial vehicles.

“Robust LiDAR sensors like the Leddar Pixell require the most advanced 3D perception software to process and interpret data in real time,” said HanBin Lee, co-founder and CEO of Seoul Robotics. “Our industry-leading perception platform, SENSR, enables stronger understanding and interpretation of 3D data, better serving the market with highly detailed, LiDAR-based perception. Through our collaboration in the Leddar Ecosystem, we will provide object detection and classification, as well as speed measurement, direction, and location information without a need for map data, all while reducing cost and increasing efficiency.”

Share

Featured Articles

EU networks plan to build a foundation for trustworthy AI

Artificial intelligence technologies are in their infancy, but commercial stakeholders must build them on foundations of trust, say research experts

ICYMI: Power users distrust AI and new National Robotarium

A week is a long time in artificial intelligence, so here’s a round-up of AI Magazine articles that have been starting conversations around the world

Reducing the impact of ecommerce with AI and ML

As online shopping continues to grow in popularity, we explore how AI and ML can help reduce its impact on sustainability and the supply chain

Now is the time for intelligent products and services

AI Strategy

The eyes of a machine: automation with vision

Machine Learning

New venture capital program seeds MIT commercial AI research

Data & Analytics