We have many different algorithms for map building and localizing a mobile robot in 2D space. In case of 3D space (open) to fly ariel vehicle, we use GPS to know the location longitude, latitude, altitude, etc. However, GPS is not suitable for the closed environment. Sometimes environment with many building or cloudy atmosphere is not suitable for using GPS. How can we localize (know the X, Y, Z coordinates) for Ariel vehicle in a closed environment?
Dear Nafis Ahmad,
I suggest you to see links and attached files in topics.
Interlacing Self-Localization, Moving Object Tracking and Mapping ...📷
https://books.google.com.tr/books?isbn=3866449771
Feature-Based Object Recognition and Localization in 3D-Space ...📷
dl.acm.org/citation.cfm?id=308381
Robotic Vision: Technologies for Machine Learning and Vision ...📷
https://books.google.com.tr/books?isbn=1466627034
Object Detection, Tracking and Recognition for Multiple Smart Cameras📷
www.cfar.umd.edu/~rama/Publications/Sank_PIEEE_2008.pdf
Best regards
Dear Nafis Ahmad
You can do it with these methods:
1- radio-frequency identification device applications to locate a radio-frequency identification device tag in three-dimensional space.
2- using camera vision to get 3D space position estimation by
using nonlinear observer.
3- by binocular vision system using image processing principle and edge of the detection algorithms can be clearly presented object contours .The distance between the target and the robot can be found through the coordinate transformation systems. Through the triangular geometry theoretical derivation and verification.
4- by a small flying robot mounted with a movable ultrasonic range sensor. The light weight of ultrasonic sensors makes them useful for collecting environment information from mobile robots. Ultrasonic sensors are generally used in a circular formation in surface-moving robots, but this is not suitable for small flying robots, which require small size and lightweight. Here we created a movable ultrasonic range sensor by combining a small, lightweight servomotor and a single ultrasonic range sensor. This sensor could perform 360° measurements of the distance between objects and the robot.
B.R.
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