Upcoming MATLAB and Simulink Webinars

Sensor Fusion and Tracking for Automated Driving

Overview

We will demonstrate our tools to design, simulate, analyze and test systems that fuse data from multiple sensors to maintain position, orientation, and situational awareness for automated driving systems.

Through several examples, we will demonstrate how to:

  • Define virtual driving scenarios and simulate output of radar and vision sensors
  • Simulate measurements from inertial and GPS sensors, and design fusion and localization algorithms
  • Quickly compare state estimation filters, motion models, and multi-objects trackers
  • Process high resolution radar and lidar sensor data for extended objects
  • Evaluate system accuracy and performance on real and synthetic data using metrics

Highlights

Learn to design, simulate, analyze and test systems that fuse data from multiple sensors to maintain position, orientation, and situational awareness in automated driving applications.

Please allow approximately 45 minutes to attend the presentation and Q&A session. We will be recording this webinar, so if you can't make it for the live broadcast, register and we will send you a link to watch it on-demand.

About the Presenter

Rick Gentile focuses on Phased Array, Signal Processing, and Sensor Fusion applications at MathWorks. Prior to joining MathWorks, Rick was a Radar Systems Engineer at MITRE and MIT Lincoln Laboratory, where he worked on the development of radar systems. Rick also was a DSP Applications Engineer at Analog Devices where he led embedded processor and system level architecture definitions for high performance signal processing systems, including automotive driver assist systems. Rick co-authored the text “Embedded Media Processing”. He received a B.S. in Electrical and Computer Engineering from the University of Massachusetts, Amherst and an M.S. in Electrical and Computer Engineering from Northeastern University, where his focus areas of study included Microwave Engineering, Communications and Signal Processing.

Product Focus

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