Education, Science, Technology, Innovation and Life
Open Access
Sign In
  1. Home
  2. Journals
  3. Journal of Artificial Intelligence Practice
  4. Vol 6, Issue 5, 2023

Intelligent Following Car Based on Dual Detection Positioning Using Ultrasonic and Camera

Download as PDF

DOI: 10.23977/jaip.2023.060509 | Downloads: 132 | Views: 1107

Author(s)

Nan Chen 1, Dingxuan Zhang 1, Junyang Guo 1, Siying Zhou 1, Xinle Ma 1

Affiliation(s)

1 College of Electrical Engineering, Southwest Minzu University, Chengdu, 610041, China

Corresponding Author

Nan Chen

ABSTRACT

To achieve real-time positioning of the target object for given tasks, a smart car system is designed using STM32F407 as the core control unit, mainly relying on ultrasonic sensors for detection and supplemented by camera detection for target locating and tracking. The ultrasonic sensor module is used as the main device for target information collection and transmission, and the distance difference between the two modules and the follow-up object is used to determine the target position. Meanwhile, the camera module is used for accurate positioning of the target, and algorithms such as Kalman filtering and PID closed-loop control are used to achieve interaction between the two detection modules and intelligent following. By doing so, the system can always maintain a distance from the target person and provide timely assistance as needed.

KEYWORDS

STM32F407, dual detection modules, automatic following, intelligent car, accurate positioning

CITE THIS PAPER

Nan Chen, Dingxuan Zhang, Junyang Guo, Siying Zhou, Xinle Ma, Intelligent Following Car Based on Dual Detection Positioning Using Ultrasonic and Camera. Journal of Artificial Intelligence Practice (2023) Vol. 6: 66-74. DOI: http://dx.doi.org/10.23977/jaip.2023.060509.

REFERENCES

[1] Zou Jun. (2018) The development of intelligent robot following system. Huazhong University of Science and Technology. 
[2] Ross HM, Mueller S, Schroeter C, et al. (2015) Robot com-panion for domestic health assistance: Implementation, test and case study under everyday conditions in private apartment. IEEE / RSJ International Conference on Intelligent Robots and Systems Piscataway, USA: IEEE, 5992-5999. 
[3] Eisenbach M, Vorndran A, Sorge S, et al. (2015) User recognition for guiding and following people with a mobile robot in a clinical environment. IEEE / RSJ International Conference on Intelligent Robots and Systems, Piscataway, USA: IEEE. 
[4] Adiaviakoye L, Patrick P, Marc B, et al. (2014) Tracking of multiple people in crowds using laser range scanners. 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP). IEEE. 
[5] Li D, Li L, Li Y, et al. (2017) A Multi-Type Features Method for Leg Detection in 2-D Laser Range Data. IEEE Sensors Journal, 18(4): 1675-1684. 
[6] Verma M, Raman B. (2015) Object tracking using joint histogram of color and local rhombuspattern. 2015 IEEE International Conference on Signal and lmage Processing Applications (ICSIPA). IEEE. 
[7] Ma C, Huang J B, Yang X, et al. (2015)Hierarchical convolutional features for visual tracking. Proceedings of the IEEE international conference on computer vision. 
[8] Wang M. Liu Y. Su D. et al. (2018) Accurate and real-time 3-D tracking for the following robots by fusing vision and ultrasonar information. IEEE/ASME Transactions onMechatronics, 23(3): 997-1006. 
[9] Zhang Bin. (2020) Research on Intelligent Wheelchair with auto-Following and natural gesture navigation functions. Soochow University, 2020. DOI: 10. 27351/d. cnki. gszhu. 001623. 
[10] Chen Chuchu. (2021) Research on Intelligent Wheelchair Design based on the Senior Technology Acceptance Model. East China University of Science and Technology. 
[11] Yang Guangxin, Liu Yuwang, Guan Lirong. (2019) Design and Simulation Optimization of Obstacle Avoidance System for Planetary Exploration Mobile Robots. Journal of Physics: Conference Series, 1176(3). 
[12] Wei L, Hu H, Lu T, et al. (2010) Evaluating the performance of a face movement based wheelchair control interface in an indoor environment. In 2010 Institute of Electrical and Electronics Engineers International. Conference on Robotics and Biomimetics. 
[13] Ghorbel Agnes, Bouguerra Sabri, Ben Amor Nader, Jalloula Mohamed. (2018) Cloud based mobile application for remote control of intelligent wheelchair. In: 14th International Wireless Communications & Mobile Computing Conference. New York: Institute of Electrical and Electronics Engineers: 1249-1254. 
[14] Cai Lei, Zhou Tingting, Guo Yunpeng, Chen Sufang, Wu Hanbang. (2013)Intelligent following carriage based on ultrasonic positioning. Electronic Measurement Technology, 36(11), 76-79+105. 
[15] Xu Chengbo, Zhang Changnian. (2014)Mobile Robot Control System Based on Embedded Linux. Microcontrollers & Embedded Systems, 14(07):24-27
[16] Xia Kun, Zhang Zhenguo, Ding Xue, Chen Jianqiang. (2010) Design for the electric car and teeterboard self-balanced system. Journal of Electronic Measurement and Instrumentation, 24(02):179-183. 
[17] Zhang Wenda. (2019) Research and design on intelligent following luggage. Hefei University of Technology. 
[18] Grewal Mohinder S., Andrews Angus P. (2001) Kalman Filtering: Theory and Practice Using MATLAB J. John Wiley & Sons, Inc: 116-121.

Subscription
E-Mail Alert
Most popular papers
Call for Special Issue
Publication Ethics & OA Statement
Plagiarism Policy
Contact Us
Downloads: 11558
Visits: 300014

Sponsors, Associates, and Links

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.