312 citations · 490 across the 7 of their papers we have counts for
4 papers · 1 filter
A CNN Approach to Simultaneously Count Plants and Detect Plantation-Rows from UAV Imagery
Lucas Prado Osco, Mauro dos Santos de Arruda, Diogo Nunes Gonçalves +11
In this paper, we propose a novel deep learning method based on a Convolutional Neural Network (CNN) that simultaneously detects and geolocates plantation-rows while counting its p…
UAV LiDAR Point Cloud Segmentation of A Stack Interchange with Deep Neural Networks
Weikai Tan, Dedong Zhang, Lingfei Ma +3
Stack interchanges are essential components of transportation systems. Mobile laser scanning (MLS) systems have been widely used in road infrastructure mapping, but accurate mappin…
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review
Ying Li, Lingfei Ma, Zilong Zhong +4
Recently, the advancement of deep learning in discriminative feature learning from 3D LiDAR data has led to rapid development in the field of autonomous driving. However, automated…
Toronto-3D: A Large-scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways
Weikai Tan, Nannan Qin, Lingfei Ma +5
Semantic segmentation of large-scale outdoor point clouds is essential for urban scene understanding in various applications, especially autonomous driving and urban high-definitio…