IB COMP SCI CASE STUDY (BOTPRO) 2024

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25 Terms

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bundle adjustment
a computer vision technique used to refine a 3D reconstruction by minimizing the reprojection error between observed image points and predicted (projected) 3D points
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computer vision
algorithms and techniques that allow computers to analyze, interpret, and makes sense of digital images or videos
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dead reckoning
Method for estimating sensor/object position (localization) and digitally constructing an unknown environment (mapping)
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dead reckoning data
estimation of current position made using dead reckoning
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edge computing
Data processing takes place at local devices (i.e. robots), rather than relying on a centralized server
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global map optimization
the process of enforcing visual consistency across a whole map (using bundle adjustment + other processes, but on a larger scale)
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Global Positioning System (GPS) signal
refers to the radio frequency signal transmitted by satellites in the Global Positioning System (GPS); used to determine the receiver's location, velocity, and time
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GPS-degraded environment
situation where GPS signals are weakened; still available, but quality, accuracy, and acquisition time degraded
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GPS-denied environment

with no signal available

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rigid pose estimation (RPE)
used to identify key points on inanimate objects
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inertial measurement unit (IMU)
Device that combines 3 sensors to measure acceleration, rotation, and magnetic field orientation
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keyframe selection
the process of identifying and selecting significant frames from a video sequence to build a sparse map of the environment and estimate the camera's trajectory accurately
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key points/pairs
distinctive and identifiable locations or regions within an image or a video frame
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light detection and ranging (LIDAR)
sensing system used in vSLAM that utilizes lasers to create detailed 3D representations of the surroundings and measure distances
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object occlusion
situation in which objects or parts of objects in a scene are partially or completely obstructed from view by another object (s)
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Odometry sensor
provides information about the movement and position of robots by measuring - the rotation of wheels and/or other moving parts
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optimization
of the process of refining the estimated camera poses and 3D point positions to improve the accuracy and consistency of the 3D reconstruction and camera position
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relocalization
the process of re-establishing a camera’s position and orientation in a known environment
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robot drift
situation where a cumulative error in dead reckoning leads to significant deviation of calculated position from the true position
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Simultaneous Localization and Mapping (SLAM)
Method for estimating sensor/object position (localization) and digitally constructing an unknown environment (mapping)
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sensor fusion model
paradigm in which information from multiple sensors is combined to get a better understanding of the surrounding environment
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initialization
the initial capture of visual data in a rescue site
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local mapping
The usage of the vSLAM “process” to build a 3D Map loop closure - The usage of instances where the camera (on the robot) revisits a location or previous scene to improve the 3D map
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relocalization
the process of re-establishing a camera’s position and orientation in a known environment
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tracking
The tracking of visual features across frames for purposes of localization