AutoVision News: Low-Level Sensor Fusion Featuring LeddarTech’s CTO 

During Reuters Events Automotive USA 2023, AutoVision News Radio host Carl Anthony participated in a ride-and-drive demonstration with LeddarTech. While navigating downtown Detroit, LeddarTech engineers showcased the company’s perception platform, focusing on the low-level sensor fusion architecture.

In this 15-minute podcast, Carl engages in a discussion with Pierre Olivier, LeddarTech’s Chief Technology Officer. Pierre is recognized for his technical expertise and visionary insights. With decades of experience in developing high-tech products, he is a renowned industry speaker at ADAS and AD technology events and conferences across North America and Europe.

Pierre has designed numerous innovative, adaptable, practical and robust products utilized globally in strategic applications, including emergency dispatch and air traffic control. Prior to joining LeddarTech in 2010, he worked at DAP Technologies, Adept Technology Canada and CML Technologies. Pierre holds several patents.

As CTO, Pierre is also accountable for LeddarTech’s Global Operations and Mobility Solutions. He holds a degree in electrical engineering from Université Laval and is a member of the Ordre des ingénieurs du Québec.

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A high-performance, sensor-agnostic automotive-grade perception solution that delivers highly accurate 3D environmental models using low-level sensor fusion. Its raw data fusion technology detects very small obstacles on the road with better detection rates and fewer false alarms than legacy “object fusion” solutions.

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This white paper explains what performance means in a perception system within the context of ADAS and AD and what key performance indicators (KPIs) are used to evaluate it. This note analyzes how KPIs translate to real-world driving scenarios and also explains concepts such as true positive & negative, false positive & negative, and confusion matrix.

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