leddartv-Sensor Fusion

Defining the Future of Mobility: LeddarTech’s Visionary Leap Towards Autonomous Driving

Autonomous Driving

LeddarTech, headquartered in Quebec City, has significantly advanced the autonomous driving industry over the past year, achieving a milestone in automotive innovation. The company’s success is deeply rooted in its expertise in sensor fusion and perception technology. At this year’s CES in Las Vegas, LeddarTech demonstrated its global impact and introduced cutting-edge innovations such as…

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Latest

LeddarTech
3D RGBD environmental modeling with LeddarVision

Leveraging artificial intelligence and computer vision algorithms to perform raw data sensor fusion, LeddarVision provides superior lane detection, free space detection, 3D bounding boxes and object detection and classification performance to achieve a comprehensive 3D RGBD environmental model and perception performance.

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LeddarTech
LeddarTech: LeddarVision

Raw data, fused to perception. This state-of-the-art solution enables the detection of the various objects in the scene, including vehicles, pedestrians, bicycles, drivable road, obstacles, signs, lanes, lane lines and more. LeddarVision also detects very small obstacles on the road with better detection rates and less false alarms than legacy “object fusion” solutions. Unclassified obstacles…

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LeddarTech
LeddarVision: Highly accurate AI-based 3D environmental models

LeddarVision software platform combines AI and computer vision technologies as well as deep neural networks with computational efficiency to scale up the performance of ADAS/AD sensors and hardware that are essential for planning the driving path.

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LeddarTech
LeddarVision: Raw data, fused to perception

This state-of-the-art solution enables the detection of the various objects in the scene, including vehicles, pedestrians, bicycles, drivable road, obstacles, signs, lanes, lane lines and more. LeddarVision also detects very small obstacles on the road with better detection rates and fewer false alarms than legacy “object fusion” solutions. Unclassified obstacles are also detected, providing an…

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Latest

automation
Episode 2 Promo: How Vecna Robotics Keeps Automation Aligned with the Floor
May 10, 2025

The second episode of Robot vs. Wild features David Rabinovic, Vice President of Deployment at Vecna Robotics, and Josh Kivenko, Chief Marketing Officer, in a conversation about the ever-changing nature of warehouse environments and what it takes to keep automation aligned with reality. Unlike manufacturing, where operations follow predictable cycles, warehouses are dynamic ecosystems—shifting every…

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Robotics
Episode 3 Promo: Inside Vecna Robotics’ Mission to Build Safer Automated Warehouses
May 9, 2025

The third episode of Robot vs. Wild takes a close look at one of the most critical success factors in automation: robot safety. Featuring Michael Bearman, Chief Legal & Safety Officer, and Josh Kivenko, Chief Marketing Officer at Vecna Robotics, this episode explores why safety in automation isn’t just about the robots—it’s about people, processes,…

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Vecna Robotics
Episode 4 Promo: How Vecna Robotics Connects Tech and Strategy for Smarter Automation
May 9, 2025

Episode four of Robot vs. Wild features a conversation between Zachary Dydek, Chief Technology Officer at Vecna Robotics, and Josh Kivenko, the company’s Chief Marketing Officer. The episode explores the advanced technologies behind Vecna’s automation solutions and how engineering and marketing align to deliver scalable, human-centered innovation. Topics include real-time orchestration, autonomous systems, and how…

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automation
Episode 5 Promo: There Are No Bad Robots, Only Bad Owners
May 9, 2025

What really makes or breaks a robotics deployment? Spoiler: it’s not the robot. In the fifth episode of Robot vs. Wild, Vecna Robotics’ Chief Marketing Officer Josh Kivenko and Customer Success Manager Ty LaFramboise reveal why successful automation is less about machines—and more about mindset. From aligning corporate goals with floor-level operations, to helping teams adjust to new…

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