leddartv-Sensor Fusion
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…
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.
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…
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.
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…
Latest
Simplifying AI Infrastructure: From Data Center to Deployment (Part 1)
In this episode of the Flawless Execution podcast, Jeff Hudgins, VP of Global Services at UNICOM Engineering, breaks down the real-world challenges of deploying AI infrastructure at scale. As AI moves from one-off builds to repeatable global deployments, OEMs, ISVs, and enterprises face increasing complexity across design, integration, cooling, logistics, and installation. Jeff discusses how…
Tiger Woods’ TGR Foundation Is Reimagining Educational Access Through STEAM, AI, and Community Partnerships
As schools across the United States continue grappling with post-pandemic learning loss, declining student engagement, and shrinking emergency funding, nonprofit organizations are increasingly stepping in to fill critical gaps. Recent national studies on literacy recovery, student engagement, and career-connected learning show that educators are facing significant post-pandemic challenges in keeping students connected to pathways that…
Higher Ed Must Build a Talent Supply Chain to Fix Workforce Readiness
The traditional pathway from college to career is starting to break down—and both universities and employers are feeling the strain. Higher education is under mounting pressure to prove career outcomes as employers question graduate readiness and internships decline. In fact, many institutions are reporting shrinking internship pipelines even as employers continue to prioritize prior…
The Healthcare Talent Fix: Build Pipelines Early, Use Data, and Get the Experience Right
There’s a growing tension inside healthcare right now—between the people leaving the workforce and the patients still arriving every day. It’s a dynamic that leaders can no longer afford to ignore. The numbers make that clear: the Association of American Medical Colleges estimates that the U.S. could be short of as many as 86,000 physicians…
