Dr. Chang Liu

Dr. Chang Liu

Assistant Professor @ BME | Research Fellow @ HUN-REN SZTAKI

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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

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Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

demo

publications

Active Wildfires Detection and Dynamic Escape Routes Planning for Humans through Information Fusion between Drones and Satellites

Published in The 26th IEEE International Conference on Intelligent Transportation Systems (ITSC 2023), 2023

Recommended citation: Chang Liu, Tamas Sziranyi. (2023). " Active Wildfires Detection and Dynamic Escape Routes Planning for Humans through Information Fusion between Drones and Satellites." The 26th IEEE International Conference on Intelligent Transportation Systems . IEEE ITSC 2023.
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talks

Gesture Recognition for UAV-based Rescue Operation based on Deep Learning

Published:

This work presents a UAV-based human gesture recognition system for rescue operations. The system can detect, track, and count humans, and recognize ten basic rescue gestures. Special attention is given to dynamic gestures Attention and Cancel, which set and reset communication with the UAV. Using deep learning, the system achieved 99.47% accuracy on training data and 99.09% accuracy on testing data.

Recommended citation: Chang Liu, Tamás Szirányi. Gesture Recognition for UAV-based Rescue Operation based on Deep Learning. IMPROVE 2021, pp. 180-187.
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UAV Path Planning based on Road Extraction

Published:

This work presents an intelligent UAV-based route planning system for field environments. First, roads are extracted from real-time UAV images using D-LinkNet. Then, main and secondary roads are distinguished based on width and real-time road conditions, assigning different weights. Finally, a weighted A* algorithm calculates the optimal route between user-defined start and end points. The approach is validated through simulations on publicly available datasets and provides real-time optimal routes for people in the field.

Recommended citation: Chang Liu, Tamás Szirányi. UAV Path Planning based on Road Extraction. IMPROVE 2022, pp. 202-210, DOI: 10.5220/0011089900003209.
Download Paper | Download Slides

teaching

Teaching Experience

, Budapest University of Technology and Economics (BME), Department of Networked Systems and Services, 2019

Courses by Semester

Thesis Supervision

, Budapest University of Technology and Economics (BME), Department of Networked Systems and Services, 2024

MSc Thesis Projects