Journal Article

·2017

A fast 3D exploration algorithm for autonomous aerial robots

Salıh Marangoz YTU , Ezgi Ergun YTU , Erkan Uslu YTU , Furkan Çakmak YTU , Nihal Altuntaş YTU , Mehmet Fatih Amasyalı YTU , Sırma Yavuz YTU

Abstract

In the scope of the study, it was aimed to discover a closed multi-storey environment with autonomous air robots and produce a three dimensional map. In order to reduce the complexity of the three-dimensional exploration algorithm, we have developed Target Elimination Method that can calculate the result by narrowing the problem space. The Target Elimination Method ensures that the exploration algorithm is faster to explore the environment as it reduces the calculation time.

Keywords

Robot Computer science Scope (computer science) Mobile robot Artificial intelligence Space (punctuation) Algorithm Computer vision Real-time computing

Subject Areas

Robotics and Sensor-Based Localization ·Aerospace Engineering ·Physical Sciences
Robotic Path Planning Algorithms ·Computer Vision and Pattern Recognition ·Physical Sciences
Image and Object Detection Techniques ·Computer Vision and Pattern Recognition ·Physical Sciences

Citations by Year

OpenAlex SDG Match

SDGs auto-classified by OpenAlex (score ≥ 0.4 shown).

Sustainable cities and communities 58%