Rescue Robot
specially designed robot capable of assisting in search and rescue operations after disasters
GPS (global positioning system)
satellite-based navigation system. provides location and time information in all weather conditions
Mapping
process of creating detailed representations of environments, vital for rescue robots to navigate and operate effectively
Navigation
ability of the rescue robot to move from one location to another within an environment, overcoming obstacles and challenges
Bundle Adjustment
mathematical technique used to refine visual reconstruction models in computer vision by minimizing errors
Computer Vision
enabling computers to gain high-level understanding from images
Dead Reckoning Data
Data obtained from sensors like odometry, used to estimate the robot's current position
Edge Computing
data processing is performed near the data source
Global Map Optimization
refining and improving the accuracy of a map of the environment
GPS-Degraded Environment
environment where the GPS signal strength is reduced
GPS-Denied Environment
environment where GPS signals are completely unavailable
Human Pose Estimation
Computer vision technique used to estimate the position and orientation of human body parts
Inertial Measurement Unit
sensor system measuring specific force, angular rate, and sometimes magnetic field surrounding the sensor's orientation
Keyframe Selection
choosing specific frames or images from a sequence
Key Points/Pairs
spatial locations or features on objects or humans
Light Detection and Ranging
Remote sensing technology using laser light to measure distance
Object Occlusion
objects are partially or completely hidden from view
Odometry Sensor
measuring a robot's movement by analyzing data from wheel rotation or similar mechanisms
Optimization
refining algorithms or models to improve efficiency, accuracy, or other desired characteristics
Rigid Pose Estimation
: Pose estimation model used for identifying key points on inanimate or rigid objects
Relocalization
Process in simultaneous localization and mapping (SLAM) where the robot corrects its estimated position based on recognizable features in the environment
Robot Drift
Phenomenon where the robot's estimated position deviates from its actual position over time
Simultaneous Localization and Mapping
echnique used in robotics and computer vision to create maps of an environment while tracking the robot's position within that environment
Sensor Fusion Model
Method of combining data from multiple sensors to enhance accuracy and reliability
Pose Estimation
determining the position and orientation of objects or humans relative to the camera