LeddarTech adopts automotive software business model to support ADAS and AD solutions (Canadian Business Journal)

QUEBEC, Oct. 11, 2022 (GLOBE NEWSWIRE) — LeddarTech®, a global leader in providing the most flexible, robust and accurate ADAS and AD sensing technologies, has adopted a business strategy that strengthens its finances and team. We are pleased to announce that Resources dedicated to the automotive software business model.

For over a decade, LeddarTech has been at the forefront of developing sensing technology, serving the global mobility, on-road and off-road markets. Over the years, the company has invested heavily in developing its own raw data sensor fusion and perception solutions. The solution has won multiple awards and has attracted the attention of the world’s leading automotive Tier 1s and OEMs.

LeddarTech’s fusion and recognition software solutions are Radarvision™is a high-performance, scalable, sensor-agnostic autograde solution that provides highly accurate 3D environment models. Additionally, LeddarVision supports all his SAE autonomy levels by applying AI and computer vision algorithms to fuse raw data from sensors used in L2-L5 applications. LeddarTech’s use of raw data fusion detects very small obstacles on the road with better detection rates and fewer false alarms than traditional “object fusion” solutions. In addition, unclassified obstacles are also detected, further increasing vehicle safety.

“We are pleased to announce the next phase in LeddarTech’s evolution as the leader in automotive software for ADAS and AD applications,” said Charles Boulanger, LeddarTech CEO. “We started our foray into automotive software a few years ago. This has led to a unique, highly acclaimed, award-winning solution.” Boulanger said, “Market analysts and customers concluded that software solutions OEMs needed to enhance ADAS and AD performance. “The need for sensor fusion and perception solutions that are easy to integrate and include all the benefits of radarvision has never been greater,” said Boulanger. and the use of raw data fusion makes our product even more attractive to our customers,” concludes Boulanger. “The team at LeddarTech is excited and eager to move forward on our path, towards our ambitious yet achievable goal of becoming the most adopted sensor fusion and perception software solution on the market. We have dedicated ourselves and our technical efforts to

About LeddarTech
Founded in 2007, LeddarTech is an automotive ADAS and AD software company that provides comprehensive end-to-end raw data fusion and perception solutions that enable customers to solve critical challenges across the value chain. doing.

LeddarTech’s automotive-grade software technology, LeddarVision™, is a flexible, robust, cost-effective, sensor-agnostic solution that provides highly accurate 3D environment models. Additionally, this scalable software applies AI and computer vision algorithms to support all his SAE autonomy levels by fusing raw data from sensors used in L2-L5 applications. LeddarTech’s use of raw data fusion detects very small obstacles on the road with better detection rates and fewer false alarms than traditional “object fusion” solutions. In addition, unclassified obstacles are also detected, further increasing vehicle safety.

LeddarTech is responsible for several innovations in cutting-edge automotive and mobility applications, with over 140 patents issued or pending, enhancing ADAS and autonomous driving capabilities.

Additional information about LeddarTech is available at www.leddartech.com and on LinkedIn, Twitter, Facebook and YouTube.

contact:
Daniel Aitken, Vice President of Global Marketing, Communications and Investor Relations, LeddarTech Inc.
Phone: +1-418-653-9000 ext.232 [email protected]

Investor Contact: [email protected]
https://investors.leddartech.com/

Leddar, LeddarTech, LeddarSteer, LeddarEngine, LeddarVision, LeddarSP, LeddarCore, LeddarEcho, VAYADrive, VayaVision, XLRator and related logos are trademarks or registered trademarks of LeddarTech Inc. and its subsidiaries. All other brands, product names and marks are or may be trademarks or registered trademarks used to identify the products or services of their respective owners.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/c9eea29e-3a7b-4833-b444-6c5cee00297a.

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