The following publications are possibly variants of this publication:
- Operation Area Measurement Based on Trajectories of Agricultural MachineryChang Ren, Yanwei Yuan, Liwei Yang, Junning Zhang, Yangchun Liu, Chengxu Lv, Bo Zhao. ifip12 2019: 384-394 [doi]
- Real-Time field road freespace extraction for agricultural machinery autonomous driving based on LiDARLili Yang, Yuanyuan Xu, Yuanbo Li, Mengshuai Chang, Zhibo Chen 0010, Yubin Lan, Caicong Wu. cea, 211:108028, August 2023. [doi]
- Multi-view density-based field-road classification for agricultural machinery: DBSCAN and object detectionXiaoqiang Zhang, Ying Chen, Jiepeng Jia, Kaiming Kuang, Yubin Lan, Caicong Wu. cea, 200:107263, 2022. [doi]
- Identifying field and road modes of agricultural Machinery based on GNSS Recordings: A graph convolutional neural network approachYing Chen, Guangyuan Li, Xiaoqiang Zhang, Jiepeng Jia, Kun Zhou, Caicong Wu. cea, 198:107082, July 2022. [doi]
- A Consortium Blockchain-Based Agricultural Machinery Scheduling SystemHaotian Yang, Shuming Xiong, Samuel Akwasi Frimpong, Mingzheng Zhang. sensors, 20(9):2643, 2020. [doi]
- Field-road classification for GNSS recordings of agricultural machinery using pixel-level visual featuresYing Chen, Lei Quan, Xiaoqiang Zhang, Kun Zhou, Caicong Wu. cea, 210:107937, July 2023. [doi]
- Road Network Model for Vehicle Navigation using Traffic Direction ApproachYang Yue, Anthony Gar-On Yeh, Qingquan Li. sdh 2008: 613-629 [doi]