Browse > Article
http://dx.doi.org/10.13067/JKIECS.2021.16.3.565

Object Recognition Technology using LiDAR Sensor for Obstacle Detection of Agricultural Autonomous Robot  

Kim, Jong-Sil (순천대학교 컴퓨터공학과)
Ju, Yeong-Tae (순천대학교 컴퓨터공학과)
Kim, Eung-Kon (순천대학교 컴퓨터공학과)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.16, no.3, 2021 , pp. 565-570 More about this Journal
Abstract
Agriculture in South Korea is losing productivity due to the lack of manpower as aging population increases. To overcome this, the agricultural robot market is growing rapidly, and research is being conducted on remote control and autonomous driving of agricultural robots. This work designs the appearance and structure of agricultural robots and implements the devices and control systems for driving. By utilizing and optimizing LiDAR sensors, we applied object recognition technology, which is an essential function for autonomous driving. This can reduce labor costs and improve productivity of transportation tasks that require the most labor in agriculture.
Keywords
Agriculture; Automated Driving; Object Recognition; Robot; Sensor;
Citations & Related Records
연도 인용수 순위
  • Reference
1 P. Chen, Y. Shi, Q. Zheng, and Q. Wu, "State-of-the-art of Object Detection Model Based on YOLO," In Proc. IEEE Int. Conf. Communications, Xi'an, China, Sept. 2020, pp. 101-105.
2 M. Kim, S. Bae, and H. Kim, "Real-Time 3D-LiDAR Object Detection in Autonomous Vehicle Systems Using Cluster-Based Candidates and Deep Learning," J. of the institute of control robotics and systems, vol. 25, no. 9, 2019, pp. 795-801.   DOI
3 T. Kim, Y. Kim, H. Jeong, Y. Kim, and Y. Park, "Study of Autonomous Navigation for Path Guide System Using RFID," J. of the Korea Institute of Electronic Communication Sciences, vol. 14, no. 1, 2019, pp. 213-218.   DOI
4 J. Park and K. Choi, "Overview of Sensor Fusion Techniques for Vehicle Positioning," J. of the Korea Institute of Electronic Communication Sciences, vol. 11, no. 2, 2016, pp. 139-144.   DOI
5 S. Kwon and T. Park, "Polar-View Based Object Detection Algorithm Using 3D Low-Channel Lidar," J. of the institute of control robotics and systems, vol. 25, no. 1, 2019, pp. 56-62.   DOI
6 Y. Lee and Y. Ryoo, "Manual and Automatic Steering System Using Pulley and Electrical Clutch for Manned and Unmanned Electric Vehicle," J. of Korean institute of intelligent systems, vol. 22, no. 5, 2012, pp. 597-602.   DOI
7 S. Bae, H. Choi, and K. Jung, "YOLO Model FPS Enhancement Method for Determining Human Facial Expression based on NVIDIA Jetson TX1," J. of the Korea Institute of Information, electronics, and Communication Technology, vol. 12, no. 5, 2019, pp. 467-474.
8 Statistics Korea, "Agriculture, Forestry and Fishery Survey in 2018," Press Release, 2018.
9 J. Jeong and S. Hyun, "AI+ Add Intelligence to Future Society(Agriculture)," National Information Society Agency, 2017.
10 H. Park, J. Kwon, T. Hwang, and D. Kim, "A Development of Effective Object Detection System Using Multi-Device LiDAR Sensorin Vehicle Driving Environment," J. of the Korea Institute of Electronic Communication Sciences, vol. 13, no. 2, 2018, pp. 313-320.   DOI