Sherlock is that you?
It combines data from multiple sensors or sources to improve the accuracy, robustness, or completeness of the information obtained.
What is sensor fusion model?
This involves developing algorithms and techniques to extract meaningful information from visual input.
What is computer vision?
This will allow the rescue robot to dynamically build a map while keeping track of its own location and orientation as it moves around an unknown environment.
What are vSLAM algorithms?
The information obtained through the process of inertial navigation.
What is Dead reckoning data?
These are commonly used in robotics, navigation systems, virtual reality, and motion tracking applications. They provide information about an object's acceleration, rotation rate, and often orientation.
What are Inertial measurement unit (IMU)?
It can be caused by inaccuracies in sensor measurements, noise, systematic errors, or limitations of the localization algorithms.
What is robot or sensor drift?
Criteria such as scene changes, content diversity, or visual saliency (most noticeable or important).
What are often the criteria or basis for selection of keyframes?
vSLAM works in indoor spaces and provides greater accuracy than GPS.
What is an advantage of vSLAM over GPS?
This brings computation and data storage closer to where data is generated or consumed.
What is Edge computing?
This is commonly used in applications such as mapping, autonomous vehicles, robotics, and environmental monitoring.
What is Light detection and ranging (LIDAR)?
It is the process of estimating the position or pose of a sensor. It involves matching observed sensor data, such as images or 3D point clouds, with features or landmarks in the map to determine the sensor's position and orientation accurately.
What is relocalization?
They perform the tasks of mapping the environment and estimating the camera's pose (position and orientation) in real-time using visual information.
What are vSLAM modules?
Input data -> Detection & Extraction -> Data association -> Update pose and map
What is a vSLAM process chart?
These techniques are often used to refine models, align data, estimate parameters, or solve complex problems.
What is optimization techniques?
Are also referred to as autonomous systems or autonomous agents.
What is a robot?
It is also known as a motion sensor or wheel encoder.
What is an odometry sensor?
This refers to building a map of the immediate vicinity of the environment based on the camera's motion and observed visual data.
What is local mapping?
1. Real-time camera pose tracking
2. Local mapping
3. Loop closure detection to correct robot drift
What are the 3 main modules of vSLAM algorithm?
This involves determining the translation and rotation parameters that align a model or template of the object with the observed data.
What is Rigid pose estimation (RPE)?
It has been designed to help with the search and rescue of humans after a disaster, such as an earthquake or tsunami.
What is a rescue robot?
These include inertial navigation systems (INS), sensor fusion, or visual-based localization.
What are alternative positioning and navigation techniques used in GPS-denied environment?
It analyzes the incoming visual data, matches the current frame's features with those in the map, and updates the camera's pose accordingly.
What is tracking?
The vSLAM estimate.
What is the result of a typical vSLAM process?
These algorithms leverage sensor measurements, such as odometry, GPS, LIDAR, or camera data.
What are SLAM algorithms?
Can be sent to places that are too dangerous for human rescue workers.
Designed to assist humans, saving human rescue workers from exhaustion and trauma.
Used to gather feedback from mock deployments that can be used to train human rescue workers about safety and efficiency in disaster management teams.
What are some advantages of using rescue robots?