✦ LIBER ✦

Trajectory Estimation of Reentry Vehicles by Use of On-Line Input Estimator

✍ Scribed by Lee, Sou-Chen; Liu, Cheng-Yu

Book ID: 120219248
Publisher: American Institute of Aeronautics and Astronautics
Year: 1999
Tongue: English
Weight: 352 KB
Volume: 22
Category: Article
ISSN: 0731-5090
DOI: 10.2514/2.4482

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Estimation of impulse response by using

Estimation of impulse response by using a nonwhite input—analysis of estimation errors by geometrical approach

✍ Makoto Yokoyama; Atsushi Watanabe 📂 Article 📅 1992 🏛 John Wiley and Sons 🌐 English ⚖ 849 KB

A method of estimating computational com

A method of estimating computational complexity based on input conditions forN-vehicle problem

✍ Xi Xia; Jin-chuan Cui 📂 Article 📅 2009 🏛 Institute of Applied Mathematics, Chinese Academy 🌐 English ⚖ 305 KB

Improving Estimation of Vehicle's Trajec

Improving Estimation of Vehicle's Trajectory Using the Latest Global Positioning System With Kalman Filtering

✍ Barrios, C.; Motai, Y. 📂 Article 📅 2011 🏛 IEEE 🌐 English ⚖ 781 KB

On the use of annual vehicle miles of tr

On the use of annual vehicle miles of travel estimates from vehicle owners

✍ S.B. White 📂 Article 📅 1976 🏛 Elsevier Science 🌐 English ⚖ 530 KB

Estimates of annual vehicle miles of travel from 433 vehicle owners are compared with "actual" annual mileages as obtained from odometer readings recorded as part of North Carolina's Motor Vehicle Inspection Program. The results show that owners tend to overestimate annual mileage on low-usage vehic

Estimation errors of volterra kernels me

Estimation errors of volterra kernels measured by use of nonwhite input

✍ Makoto Yokoyama; Atsushi Watanabe 📂 Article 📅 1992 🏛 John Wiley and Sons 🌐 English ⚖ 693 KB

Vehicle-type motion estimation by the fu

Vehicle-type motion estimation by the fusion of image point and line features

✍ Soo-chang Pei; Liou Lin-gwo 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 934 KB

Three-dimensional (3D) motion estimation is a very important topic in machine vision. However, reliability of the estimated 3D motion seems to be the most challenging problem, especially to the linear algorithms developed for solving a general 3D motion problem (six degrees of freedom). In real appl