Particle filters are a good way of keeping track of a set of hypotheses when performing SLAM. With regards to the FastSLAM algorithm discussed in the video, select all the true statements in the following set. Select one or more: a. Each particle must keep a hypothesis of the noise in the motion model * b. Each particle must keep a hypothesis of the robot's observations* ✔C. Each particle must keep a hypothesis of the position of the robot d. Particles do not keep a hypothesis of the variance in landmark positions e. Particles do not keep a hypothesis of the robot's sensor model f. Each particle must keep a hypothesis of the positions of landmarks ☐ g. Particles do not keep a hypothesis of the variance in the robot's positon ✔h. Each particle must keep a hypothesis of the path followed by the robot*

Particle filters are a good way of keeping track of a set of hypotheses when performing SLAM. With regards to the FastSLAM algorithm discussed in the video, select all the true statements in the following set. Select one or more: a. Each particle must keep a hypothesis of the noise in the motion model * b. Each particle must keep a hypothesis of the robot's observations* ✔C. Each particle must keep a hypothesis of the position of the robot d. Particles do not keep a hypothesis of the variance in landmark positions e. Particles do not keep a hypothesis of the robot's sensor model f. Each particle must keep a hypothesis of the positions of landmarks ☐ g. Particles do not keep a hypothesis of the variance in the robot's positon ✔h. Each particle must keep a hypothesis of the path followed by the robot*

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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