Virtual Event | September 14 - 15, 2021
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Wednesday, September 15 • 1:50pm - 2:05pm
Using AI and ML for Indoor Navigation and Position Planning using Markov localization Algorithm - Farhang Naderi, Eastern Mediterranean University

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Indoor localization for drones is one of the challenging tasks in industry. As the indoor environment do not have access to GPS signal, other sources to provide velocity information are compulsory. In the proposed method, the drone will do localization using Machine Learning algorithm from a series of specific patterns on the ground. A camera is monuted horizontally under the drone' to capture frames on the ground in real-time and to process. Each specific pattern has been trained by ML algorithm to be recognized. The ML algorithm is processed by Google Coral TPU. The drone starts from a random place and moves over the patterns to update its initial random guess of the position. Using Markov algorithm these guesses' confidence is update over each new pattern. After 3 or 4 patterns, the drone is localized. The drone's stability is assured by using a vision sensor (Intel Realsense camera here) giving data through MAVROS to Pixhawk running PX4-Autopilot software on it. There is and additional camera that takes care of capturing the frames on the ground real time and to process. The work has lready been done amd the hardware is set up.

avatar for Farhang Naderi

Farhang Naderi

Student/Research Assistant, Eastern Mediterranean University
Farhang Naderi is currently pursuing his master's degree in Eastern Mediterranean University with his thesis subject about drones and indoor navigation using AI and ML and is a research assistant in the Robotics course. He graduated with a Mechatronics Engineering degree and since... Read More →

Wednesday September 15, 2021 1:50pm - 2:05pm PDT
Track 2
  Lightning Talks
  • Presentation Slides Included yes