Perspectives of RealSense and ZED Depth Sensors for Robotic Vision Applications
Vladimir Tadic,
Attila Toth,
Zoltan Vizvari,
Mihaly Klincsik,
Zoltan Sari,
Peter Sarcevic,
Jozsef Sarosi,
Istvan Biro
Affiliations
Vladimir Tadic
Institute of Information Technology, University of Dunaujvaros, Tancsics Mihaly u. 1/A Pf.: 152, H-2401 Dunaujvaros, Hungary
Attila Toth
Institute of Physiology, Medical School, University of Pecs, Szigeti Str. 12, H-7624 Pecs, Hungary
Zoltan Vizvari
Department of Environmental Engineering, Faculty of Engineering and Information Technology, University of Pecs, Boszorkany Str. 2, H-7624 Pecs, Hungary
Mihaly Klincsik
Department of Technical Informatics, Faculty of Engineering and Information Technology, University of Pecs, Boszorkany Str. 2, H-7624 Pecs, Hungary
Zoltan Sari
Department of Technical Informatics, Faculty of Engineering and Information Technology, University of Pecs, Boszorkany Str. 2, H-7624 Pecs, Hungary
Peter Sarcevic
Faculty of Engineering, University of Szeged, Mars ter 7, H-6724 Szeged, Hungary
Jozsef Sarosi
Faculty of Engineering, University of Szeged, Mars ter 7, H-6724 Szeged, Hungary
Istvan Biro
Faculty of Engineering, University of Szeged, Mars ter 7, H-6724 Szeged, Hungary
This review paper presents an overview of depth cameras. Our goal is to describe the features and capabilities of the introduced depth sensors in order to determine their possibilities in robotic applications, focusing on objects that might appear in applications with high accuracy requirements. A series of experiments was conducted, and various depth measuring conditions were examined in order to compare the measurement results of all the depth cameras. Based on the results, all the examined depth sensors were appropriate for applications where obstacle avoidance and robot spatial orientation were required in coexistence with image vision algorithms. In robotic vision applications where high accuracy and precision were obligatory, the ZED depth sensors achieved better measurement results.
