Skip to content
MathWorks - Mobile View
  • Sign In to Your MathWorks AccountSign In to Your MathWorks Account
  • Access your MathWorks Account
    • My Account
    • My Community Profile
    • Link License
    • Sign Out
  • Products
  • Solutions
  • Academia
  • Support
  • Community
  • Events
  • Get MATLAB
MathWorks
  • Products
  • Solutions
  • Academia
  • Support
  • Community
  • Events
  • Get MATLAB
  • Sign In to Your MathWorks AccountSign In to Your MathWorks Account
  • Access your MathWorks Account
    • My Account
    • My Community Profile
    • Link License
    • Sign Out

Videos and Webinars

  • MathWorks
  • Videos
  • Videos Home
  • Search
  • Videos Home
  • Search
  • Contact sales
  • Trial software
39:15 Video length is 39:15.
  • Description
  • Related Resources

Sensor Fusion and Tracking with MATLAB

Overview

Sensor fusion algorithms can be used to improve the quality of position, orientation, and pose estimates obtained from individual sensors by combing the outputs from multiple sensors to improve accuracy. By fusing data from multiple sensors, the strengths of each sensor modality can be used to make up for shortcomings in the other sensors.  In addition, systems that perform sense and perception need to keep track of a very large number of objects to maintain complete situational awareness. 

In this webinar, you will learn about algorithms and tools to design, simulate, and analyze systems that fuse data from multiple sensors to maintain position, orientation, and situational awareness.  The webinar will include several reference examples that provide a starting point for airborne, ground-based, shipborne, and underwater sensing systems.

Highlights

Through several examples, we will:

  • Create multi-object trackers and sensor fusion filters
  • Generate synthetic detection data for radar, EO/IR, sonar, and RWR sensors, along with GPS/IMU sensors for localization
  • Design data association algorithms for real and synthetic data
  • Define and import scenarios and trajectories for simulation
  • Evaluate system accuracy and performance with standard benchmarks, metrics, and animated plots

About the Presenter

Rick Gentile works at MathWorks where he is focused on tools that support radar, EW, and wireless communications applications. Prior to joining MathWorks, Rick was a Radar Systems Engineer at MITRE and MIT Lincoln Laboratory, where he worked on the development of many large radar systems. His focus was on signal processing and system integration. 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. 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.

Recorded: 23 May 2019

Related Products

  • Sensor Fusion and Tracking Toolbox
  • DSP System Toolbox
  • MATLAB Coder
  • Phased Array System Toolbox

Learn More

Sensor Fusion and Tracking for Autonomous Systems (White Paper)

Bridging Wireless Communications Design and Testing with MATLAB

Read white paper

Feedback

Featured Product

Sensor Fusion and Tracking Toolbox

  • Request Trial
  • Get Pricing

Up Next:

46:48
Designing Signal Processing Systems with MATLAB

Related Videos:

35:43
Efficient Multirate Signal Processing in MATLAB
24:24
Radar System Design and Analysis with MATLAB
4:19
Unit Testing C Code Using MATLAB and MATLAB Coder
11:24
Addressing Implementation Constraints Using MATLAB Coder

View more related videos

MathWorks - Domain Selector

Select a Web Site

Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .

  • Switzerland (English)
  • Switzerland (Deutsch)
  • Switzerland (Français)
  • 中国 (简体中文)
  • 中国 (English)

You can also select a web site from the following list:

How to Get Best Site Performance

Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.

Americas

  • América Latina (Español)
  • Canada (English)
  • United States (English)

Europe

  • Belgium (English)
  • Denmark (English)
  • Deutschland (Deutsch)
  • España (Español)
  • Finland (English)
  • France (Français)
  • Ireland (English)
  • Italia (Italiano)
  • Luxembourg (English)
  • Netherlands (English)
  • Norway (English)
  • Österreich (Deutsch)
  • Portugal (English)
  • Sweden (English)
  • Switzerland
    • Deutsch
    • English
    • Français
  • United Kingdom (English)

Asia Pacific

  • Australia (English)
  • India (English)
  • New Zealand (English)
  • 中国
    • 简体中文Chinese
    • English
  • 日本Japanese (日本語)
  • 한국Korean (한국어)

Contact your local office

  • Contact sales
  • Trial software

MathWorks

Accelerating the pace of engineering and science

MathWorks is the leading developer of mathematical computing software for engineers and scientists.

Discover…

Explore Products

  • MATLAB
  • Simulink
  • Student Software
  • Hardware Support
  • File Exchange

Try or Buy

  • Downloads
  • Trial Software
  • Contact Sales
  • Pricing and Licensing
  • How to Buy

Learn to Use

  • Documentation
  • Tutorials
  • Examples
  • Videos and Webinars
  • Training

Get Support

  • Installation Help
  • MATLAB Answers
  • Consulting
  • License Center
  • Contact Support

About MathWorks

  • Careers
  • Newsroom
  • Social Mission
  • Customer Stories
  • About MathWorks
  • Select a Web Site United States
  • Trust Center
  • Trademarks
  • Privacy Policy
  • Preventing Piracy
  • Application Status

© 1994-2022 The MathWorks, Inc.

  • Facebook
  • Twitter
  • Instagram
  • YouTube
  • LinkedIn
  • RSS

Join the conversation