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{ "item_title" : "Vision-Aided Autonomous Precision Weapon Terminal Guidance Using a Tightly-Coupled Ins and Predictive Rendering Techniques", "item_author" : [" Jonathan W. Beich "], "item_description" : "This thesis documents the development of the Vision-Aided Navigation using Statistical Predictive Rendering (VANSPR) algorithm which seeks to enhance the endgame navigation solution possible by inertial measurements alone. The eventual goal is a precision weapon that does not rely on GPS, functions autonomously, thrives in complex 3-D environments, and is impervious to jamming. The predictive rendering is performed by viewpoint manipulation of computer-generated of target objects. A navigation solution is determined by an Unscented Kalman Filter (UKF) which corrects positional errors by comparing camera images with a collection of statistically significant virtual images.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/24/961/362/1249613620_b.jpg", "price_data" : { "retail_price" : "57.95", "online_price" : "57.95", "our_price" : "57.95", "club_price" : "57.95", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Vision-Aided Autonomous Precision Weapon Terminal Guidance Using a Tightly-Coupled Ins and Predictive Rendering Techniques|Jonathan W. Beich

Vision-Aided Autonomous Precision Weapon Terminal Guidance Using a Tightly-Coupled Ins and Predictive Rendering Techniques

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Overview

This thesis documents the development of the Vision-Aided Navigation using Statistical Predictive Rendering (VANSPR) algorithm which seeks to enhance the endgame navigation solution possible by inertial measurements alone. The eventual goal is a precision weapon that does not rely on GPS, functions autonomously, thrives in complex 3-D environments, and is impervious to jamming. The predictive rendering is performed by viewpoint manipulation of computer-generated of target objects. A navigation solution is determined by an Unscented Kalman Filter (UKF) which corrects positional errors by comparing camera images with a collection of statistically significant virtual images.

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Details

  • ISBN-13: 9781249613626
  • ISBN-10: 1249613620
  • Publisher: Biblioscholar
  • Publish Date: October 2012
  • Dimensions: 9.69 x 7.44 x 0.43 inches
  • Shipping Weight: 0.82 pounds
  • Page Count: 202

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