menu
{ "item_title" : "Multisensor Fusion", "item_author" : [" Rajive Joshi", "Arthur C. Sanderson "], "item_description" : "The fusion of information from sensors with different physical characteristics, such as sight, touch, sound, etc., enhances the understanding of our surroundings and provides the basis for planning, decision-making, and control of autonomous and intelligent machines.The minimal representation approach to multisensor fusion is based on the use of an information measure as a universal yardstick for fusion. Using models of sensor uncertainty, the representation size guides the integration of widely varying types of data and maximizes the information contributed to a consistent interpretation.In this book, the general theory of minimal representation multisensor fusion is developed and applied in a series of experimental studies of sensor-based robot manipulation. A novel application of differential evolutionary computation is introduced to achieve practical and effective solutions to this difficult computational problem.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/81/023/880/9810238800_b.jpg", "price_data" : { "retail_price" : "83.00", "online_price" : "83.00", "our_price" : "83.00", "club_price" : "83.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Multisensor Fusion|Rajive Joshi

Multisensor Fusion : A Minimal Representation Framework

local_shippingShip to Me
On Order. Usually ships in 2-4 weeks
FREE Shipping for Club Members help

Overview

The fusion of information from sensors with different physical characteristics, such as sight, touch, sound, etc., enhances the understanding of our surroundings and provides the basis for planning, decision-making, and control of autonomous and intelligent machines.The minimal representation approach to multisensor fusion is based on the use of an information measure as a universal yardstick for fusion. Using models of sensor uncertainty, the representation size guides the integration of widely varying types of data and maximizes the information contributed to a consistent interpretation.In this book, the general theory of minimal representation multisensor fusion is developed and applied in a series of experimental studies of sensor-based robot manipulation. A novel application of differential evolutionary computation is introduced to achieve practical and effective solutions to this difficult computational problem.

This item is Non-Returnable

Details

  • ISBN-13: 9789810238803
  • ISBN-10: 9810238800
  • Publisher: World Scientific Publishing Company
  • Publish Date: December 1999
  • Dimensions: 8.87 x 6.38 x 0.91 inches
  • Shipping Weight: 1.25 pounds
  • Page Count: 336

Related Categories

You May Also Like...

    1

BAM Customer Reviews