Introduction to Bayesian Tracking and Particle Filters is popular PDF and ePub book, written by Lawrence D. Stone in 2023-05-31, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Introduction to Bayesian Tracking and Particle Filters can be Read Online from any device for your convenience.
Introduction to Bayesian Tracking and Particle Filters Book PDF Summary
This book provides a quick but insightful introduction to Bayesian tracking and particle filtering for a person who has some background in probability and statistics and wishes to learn the basics of single-target tracking. It also introduces the reader to multiple target tracking by presenting useful approximate methods that are easy to implement compared to full-blown multiple target trackers. The book presents the basic concepts of Bayesian inference and demonstrates the power of the Bayesian method through numerous applications of particle filters to tracking and smoothing problems. It emphasizes target motion models that incorporate knowledge about the target’s behavior in a natural fashion rather than assumptions made for mathematical convenience. The background provided by this book allows a person to quickly become a productive member of a project team using Bayesian filtering and to develop new methods and techniques for problems the team may face.
Detail Book of Introduction to Bayesian Tracking and Particle Filters PDF
- Author : Lawrence D. Stone
- Release : 31 May 2023
- Publisher : Springer Nature
- ISBN : 9783031322426
- Genre : Computers
- Total Page : 124 pages
- Language : English
- PDF File Size : 14,6 Mb
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