Lectio Magistralis - Introduction to Sensor Fusion and Scene Understanding for AD/ADAS
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Abstract
This lecture introduced the fundamental concepts, architectures, and practical challenges of sensor fusion and scene understanding for AD/ADAS systems. Topics included multi-sensor perception pipelines, probabilistic fusion, object tracking, and the role of neural networks in modern autonomous driving stacks, with emphasis on real-world deployment considerations.
Date
Feb 1, 2025 9:00 AM — 12:00 PM
Location
ENSTA Paris
828 Boulevard des Maréchaux, Palaiseau, Ile-de-France 91120
This page describes the lectio magistralis delivered at ENSTA Paris for the Mastère Spécialisé MM6 program in February 2025.
The lecture covered:
- Overview of sensors used in autonomous driving (camera, LiDAR, radar, ultrasonic)
- Classical and modern approaches to sensor fusion
Federico Camarda
AD/ADAS Sofware Engineer | PhD in Automation and Robotics
My work and research aim is to make vehicles smarter and safer.