Design of a Mobile Data Collection Robot for Learning-based Localization and Autonomous Driving

Ali Omer Baykar*, Jens Lambrecht, Ayhan Kural, Selcuk Eray Uygur, Ahmet Yildiz

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

Özet

This study introduces a mobile robot capable of collecting position and corresponding visual data seamlessly from both indoor and outdoor settings within the same sequence. The mobile robot has been specifically designed to navigate obstacles such as stairs and steps during transitions between indoor and outdoor environments. To accomplish this, the robot incorporates differential driving dynamics and is equipped with essential sensors including two stereo cameras, LIDAR, IMU, and GNSS. The entire system operates on the Robot Operating System (ROS). Consequently, it becomes possible to create a comprehensive dataset that encompasses not only the routes traversed by mobile vehicles but also includes all vehicle and pedestrian roads, as well as indoor spaces, found within a campus environment.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9798350306590
DOI'lar
Yayın durumuYayınlandı - 2023
Etkinlik2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023 - Sivas, Turkey
Süre: 11 Eki 202313 Eki 2023

Yayın serisi

Adı2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023

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???event.eventtypes.event.conference???2023 Innovations in Intelligent Systems and Applications Conference, ASYU 2023
Ülke/BölgeTurkey
ŞehirSivas
Periyot11/10/2313/10/23

Bibliyografik not

Publisher Copyright:
© 2023 IEEE.

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