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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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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Texas energy
Small Margins, Big Risks: How Fraud Hurts Texas Energy Retailers
January 6, 2026

Fraud has quietly become one of the most existential threats in Texas’s deregulated retail electricity market—because the business runs on razor-thin margins and delayed payment. Under the non-POR system overseen by the Electric Reliability Council of Texas (ERCOT), retail energy providers assume the full risk of nonpayment. With profit margins often measured in just a…

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learning
From 30 to 1,500 Students: Scaling Mass Experiential Learning with How to Change the World
January 5, 2026

Higher education is at a crossroads. Institutions are being asked to do more with less—serve more students, prepare them for a rapidly changing, AI-shaped workforce, and prove the real-world value of a degree—all at the same time. Employers consistently note that while graduates are technically capable, many struggle to apply what they’ve learned to…

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What the Future Looks Like if We Get It Right
What the Future Looks Like if We Get It Right
December 30, 2025

As the Patient Monitoring series concludes, the conversation shifts from today’s challenges to tomorrow’s possibilities. This final episode of the five-part Health and Life Sciences at the Edge series looks ahead to what healthcare could become if patient monitoring gets it right. Intel’s Kaeli Tully is joined by Sudha Yellapantula, Senior Researcher at Medical…

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data center infrastructure
AI Is Forcing a Rethink of Data Center Infrastructure at Every Level
December 29, 2025

The data center industry is being redefined by AI’s demand for faster, denser, and more scalable infrastructure. According to McKinsey, average rack power densities have more than doubled in just two years. It went from approximately 8 kW to 17 kW, and is expected to hit 30 kW by 2027. Global data center power demand is projected…

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