Pregled bibliografske jedinice broj: 894428
Map Building Using Autonomous Mobile Service Robots with Deep Neural Networks
Map Building Using Autonomous Mobile Service Robots with Deep Neural Networks // Sixth Croatian Computer Vision Workshop
Split, Hrvatska, 2017. (poster, međunarodna recenzija, neobjavljeni rad, znanstveni)
CROSBI ID: 894428 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Map Building Using Autonomous Mobile Service Robots with Deep Neural Networks
Autori
Kružić, Stanko ; Musić, Josip
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, neobjavljeni rad, znanstveni
Skup
Sixth Croatian Computer Vision Workshop
Mjesto i datum
Split, Hrvatska, 26.09.2017
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
complete coverage path planning, obstacle avoidance, mobile service robots
Sažetak
The navigation of mobile (service) robots has always been an important topic in robotics, particularly for autonomous robots. In order to be able to do so a map of the area needs to be known. Here, a method for autonomous map building using Advanced Monte Carlo Localization and Deep Neural Networks is presented. The method is designed to be used in unstructured, dynamic environments, and it needs no human intervention. Method uses range data (from LIDAR, ultrasonic and other depth sensors) for recognizing patterns that are created by various obstacles, and based on deep neural network outputs, avoids obstacles while building a map of free space.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split
