101 School Jokes by Lisa Eisenberg

101 School Jokes by Lisa Eisenberg

A key aspect of robotics today is estimating the state, such as position and orientation, of a robot as it moves through the world. Most robots and autonomous vehicles depend on noisy data from sensors such as cameras or laser rangefinders to navigate in a three-dimensional world. This book presents common sensor models and practical advice on how to carry out state estimation for rotations and other state variables. It covers both classical state estimation methods such as the Kalman filter, as well as important modern topics such as batch estimation, the Bayes filter, sigmapoint and particle filters, robust estimation for outlier rejection, and continuous-time trajectory estimation and its connection to Gaussian-process regression. The methods are demonstrated in the context of important applications such as point-cloud alignment, pose-graph relaxation, bundle adjustment, and simultaneous localization and mapping. Students and practitioners of robotics alike will find this a valuable resource.

Lisa Eisenberg lives in Ithaca, New York.

Elwood H. Smith lives in Rhinebeck, New York.

SKU	Unavailable
ISBN 13	9780590411820
ISBN 10	0590411829
Title	101 School Jokes
Author	Lisa Eisenberg
Condition	Unavailable
Binding Type	Paperback
Publisher	Scholastic US
Year published	1987-11-01
Number of pages	96
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.