Paper 3 Terms Flashcards

1
Q

Bundle Adjustment

A

Enhances the accuracy and reliability of 3D scene reconstructions from multiple images and camera views

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2
Q

Computer Vision

A

A field of AI enabling computers to derive info from images, videos, and other inputs

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3
Q

Dead Reckoning Data

A

Method used to estimate the robot’s current position based on a known starting point, estimated speed, moving direction, and amount of moving time

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4
Q

Edge Computing

A

Distributed computing framework that brings enterprise applications closer to data sources such as IoT devices or local edge servers

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5
Q

Global Map Optimization

A

A process of improving the accuracy and consistency of a map that a robot has created of its environment

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6
Q

Global Positioning System (GPS) Signal

A

A satellite constellation supporting highly accurate positioning, navigation, and timing (PNT) measurements worldwide

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7
Q

GPS-Degraded Environment

A

Refers to any situation or location where the GPS signals are unreliable, weak, or completely unavailable. Could be due to urban areas, indoor locations, forested areas, underground/underwater, mountainous terrain, interference or jamming

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8
Q

GPS-Denied Environment

A

A location or situation where the GPS signals aren’t available aren’t available at all. This could be due to indoor locations, underground/underwater locations, jamming/spoofing, or space between the signal and destination

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9
Q

Human Pose Estimation

A

A task in computer vision designed to recognize and accurately track specific points on the human body

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10
Q

Inertial Measurement Unit

A

A device that can measure and report specific gravity and angular rate of an object to which it is attached

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11
Q

Keyframe Selection

A

Selecting certain frames of images or scans of surroundings, and using the new/important information in those frames to create a map of it’s environment and track its position more efficiently

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12
Q

Key Points/Pairs

A

Used to align images with one another & reconstruct 3D structure and camera movement from a series of 2D images

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13
Q

Light Detection and Ranging (LIDAR)

A

A remote sensing method that uses light in the form of a pulsed laser to measure ranges to the Earth

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14
Q
A
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14
Q

Object Occlusion

A

The event where a part or all of an object in the scene is hidden from view by some other object in the scene

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15
Q

Odometry Sensor

A

A device used to estimate the change in position over time of a vehicle, like a car or robot, based on data from its own sensors

16
Q

Optimization

A

The method of obtaining the most effective/efficient solution to a given problem

17
Q

Rigid Pose Estimation (RPE)

A

A concept in computer vision and robotics that involves determining the position and orientation of an object that doesn’t deform or change shape

17
Q

Relocalization

A

The ability of a robot to determine its current location in a map that it previously built or in a known environment, particularly after it has lost track of its position due to an error, disturbance, or after it has been manually moved

18
Q

Robot Drift

A

Refers to the accumulated error in a robot’s estimated position and orientation over time

19
Q

Simultaneous Localization and Mapping (SLAM)

A

A methos used for autonomous vehicles that lets you build a map and localize your vehicle at the time same. These algorithms allow the vehicle to map out unknown environments

20
Q

Sensor Fusion Model

A

The process of merging data from multiple sensors to reduce the amount of uncertainty that may be involved in a robot navigation motion or task performing

21
Q

Visual Simultaneous Localization and Mapping (vSLAM)

A

The process of calculating the position and orientation of a camera, with respect to its surroundings, while simultaneously mapping the environment. This process uses only visual inputs from the camera

22
Q

vSLAM Initialization

A

Refers to the process of setting up initial conditions / starting point for the algorithm

23
vSLAM Local Mapping
The robot builds a smaller, more immediate map of its surroundings, often referred to as a local map
24
vSLAM Loop Closure
Helps the robot understand that an object has already been visited, and will update the robot's location and map accordingly
25
vSLAM Relocalization
Required when the tracking is failed due to fast camera motion or disturbances