Autors: Popov, V. L., Ahmed, S. A., Shakev, N. G., Topalov, A. V. Title: Detection and Following of Moving Targets by an Indoor Mobile Robot using Microsoft Kinect and 2D Lidar Data Keywords: Mobile robots, Autonomous robotic systems, Perception and se Abstract: The mobile robot following behavior is frequently considered as an important pre-requisite while developing autonomous service robots intended to co-exist with humans in a shared environment. It can also simplify the development of autonomous navigation and obstacle avoidance behavior as well as the robot ability to operate within multi-agent formations. In this investigation, an approach is proposed that allows a KUKA youBot omnidirectional mobile platform to detect and follow people carrying different objects, such as suitcases, in a shared indoor environment. Using a Kinect sensor, the mobile robot can recognize standing human with a suitcase and will begin to consider him as a potential dynamic target. The 2D lidar of the mobile platform can further detect when the above target starts to move and will begin to track it. Meanwhile, the robot will start following the human by controlling its own velocity while maintaining a pre-specified orientation and distance. © 2018 IEEE. References Issue
Copyright IEEE Xplore |
Цитирания (Citation/s):
1. Islam M.J., Hong J., Sattar J. Person-following by autonomous robots: A categorical overview, International Journal of Robotics Research 38(14), pp. 1581-1618, 2019 - 2019 - в издания, индексирани в Scopus или Web of Science
2. Deremetz M., Lenain R., Laneurit J., Debain C., Peynot T., Autonomous human tracking using uwb sensors for mobile robots: An observer-based approach to follow the human path, CCTA 2020 - 4th IEEE Conference on Control Technology and Applications 9206153, pp. 372-379 - 2020 - в издания, индексирани в Scopus или Web of Science
3. Janzon S., Sanchez C.M., Zella M., Marron P.J., Person Re-Identification in Human following Scenarios: An Experience with RGB-D Cameras, Proceedings - 4th IEEE International Conference on Robotic Computing, IRC 2020 9287913, pp. 424-425 - 2020 - в издания, индексирани в Scopus или Web of Science
4. Arenas R.T., Delmas P.J., Strozzi A.G., Development of a Virtual Environment Based Image Generation Tool for Neural Network Training, International Conference Image and Vision Computing New Zealand 2020-November,9290491 - 2020 - в издания, индексирани в Scopus или Web of Science
5. Rodríguez-Quiñonez J.C., Intelligent Automatic Object Tracking Method by Integration of Laser Scanner System and INS, Programming and Computer Software 46(8), pp. 619-625 - 2020 - в издания, индексирани в Scopus или Web of Science
6. Li, L., Cai, C., Robust SLAM in Dynamic Scenes Based on Deep Learning and Edge Detection, Chinese Journal of Sensors and Actuators 34(1), pp. 80-88 - 2021 - в издания, индексирани в Scopus или Web of Science
7. Bae K., Son Y., Song Y.-E., Jung H., Component-Wise Error Correction Method for UWB-Based Localization in Target-Following Mobile Robot, (2022) Sensors, 22 (3), art. no. 1180, DOI: 10.3390/s22031180 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123957094&doi=10.3390%2fs22031180&partnerID=40&md5=771bf01b401fa1404eedbf76071ac369 - 2022 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
8. Lv Z., Song S., Yin H., Design of Intelligent Epidemic Prevention Robot Control System Based on Single-Chip Microcomputer, Proceedings - 2022 International Conference on Big Data, Information and Computer Network, BDICN 2022, pp. 586 - 591 DOI: 10.1109/BDICN55575.2022.00113 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85129596502&doi=10.1109%2fBDICN55575.2022.00113&partnerID=40&md5=0033bf8ea3c11fcbe4c0cece620285e3 - 2022 - от чужди автори в чужди издания, неиндексирани в Scopus или Web of Science
9. Zhang H., Liu K., Zhou J., Ma L., Ma F., Ji P. , A novel multi-target recognition method based on heatable marker for human following robots (2022) Proceedings - 2022 Chinese Automation Congress, CAC 2022, 2022-January, pp. 1657 - 1662, DOI: 10.1109/CAC57257.2022.10056067 - 2022 - в издания, индексирани в Scopus или Web of Science
10. Vijayakumar K., Mohamed Imran P.S., Priya A., Senthil Kumar G., Shiny Angel T.S., Snehalatha N., An Iot Based Smart Suitcase Embedded with IRIS Recognition and Object Detection Technique (2022) AIP Conference Proceedings, 2516, art. no. 140006 DOI: 10.1063/5.0109145 - 2022 - в издания, индексирани в Scopus или Web of Science
11. Pasinetti S., Nuzzi C., Luchetti A., Zanetti M., Lancini M., De Cecco M. , Experimental Procedure for the Metrological Characterization of Time-of-Flight Cameras for Human Body 3D Measurements (2023) Sensors, 23 (1), art. no. 538 DOI: 10.3390/s23010538 - 2023 - в издания, индексирани в Scopus или Web of Science
12. Mortezapoor S., Vasylevska K., Vonach E., Kaufmann H., CoboDeck: A Large-Scale Haptic VR System Using a Collaborative Mobile Robot (2023) Proceedings - 2023 IEEE Conference Virtual Reality and 3D User Interfaces, VR 2023, pp. 297 - 307, DOI: 10.1109/VR55154.2023.00045 - 2023 - в издания, индексирани в Scopus или Web of Science
13. Abdul-Khalil S., Abdul-Rahman S., Mutalib S., Kamarudin S.I., Kamaruddin S.S., A review on object detection for autonomous mobile robot (2023) IAES International Journal of Artificial Intelligence, 12 (3), pp. 1033 - 1043, DOI: 10.11591/ijai.v12.i3.pp1033-1043 - 2023 - в издания, индексирани в Scopus или Web of Science
14. Abdul-Khalil S., Abdul-Rahman S., Mutalib S., Two-Stage Object Detection for Autonomous Mobile Robot Using Faster R-CNN (2024) Lecture Notes in Networks and Systems, 825, pp. 122 - 138; DOI: 10.1007/978-3-031-47718-8_9; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186665811&doi=10.1007%2f978-3-031-47718-8_9&partnerID=40&md5=b9bcd88da5bab3737c1eae58b8c8b9f5 - 2024 - в издания, индексирани в Scopus или Web of Science
15. Zainudin Z., Kodagoda S., Gaussian Processes-BayesFilters with Non-Parametric Data Optimization for Efficient 2D LiDAR Based People Tracking (2023) International Journal of Robotics and Control Systems, 3 (2), pp. 206 - 220, DOI: 10.31763/ijrcs.v3i2.901 - 2023 - в издания, индексирани в Scopus или Web of Science
Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus и Web of Science