Szczegóły publikacji
Opis bibliograficzny
Positioning algorithm for AGV autonomous driving platform based on artificial neural networks / Patryk Bałazy, Paweł Gut, Paweł Knap // Robotic Systems and Applications [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 2669-2473. — 2021 — vol. 1 iss. 2, s. 41–45. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 44–45, Abstr. — Publikacja dostępna online od: 2021-08-11
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 147481 |
|---|---|
| Data dodania do BaDAP | 2023-06-27 |
| Tekst źródłowy | URL |
| DOI | 10.21595/rsa.2021.22109 |
| Rok publikacji | 2021 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | Robotic Systems and Applications |
Abstract
This paper presents an artificial intelligence algorithm responsible for the autonomy of a platform. The proposed algorithm allows the platform to move from an initial position to a set one without human intervention and with understanding and response to the dynamic environment. The implementation of such a task is possible by using a combination of a camera identifying the environment with a laser LIDAR sensor and a vision system. The signals from the sensors are analysed through convolutional neural networks. Based on AI inference, the platform makes decisions, including determining the optimal path for itself. A transfer learning method will be used to teach the neural network. This article presents the results of learning the applied neural algorithm.
