|
|
|
|
|
Thanda Shwe and Masayoshi Aritsugi
Intelligent applications in several areas increasingly rely on big data solutions to improve their efficiency, but the processing and management of big data incur high costs. Although cloud-computing-based big data management and processing offer a promi...
ver más
|
|
|
|
|
|
|
|
|
Hanqiao Huang, Weiye Weng, Huan Zhou, Zijian Jiang and Yue Dong
When facing problems in the aerial pursuit game, most of the current unmanned aerial vehicles (UAVs) have good maneuverability performance, but it is difficult to utilize the overload maneuverability of UAVs properly; further, UAVs tend to be more costly...
ver más
|
|
|
|
|
|
|
|
|
Wenqi Lyu, Wei Ke, Hao Sheng, Xiao Ma and Huayun Zhang
In response to the challenge of handling large-scale 3D point cloud data, downsampling is a common approach, yet it often leads to the problem of feature loss. We present a dynamic downsampling algorithm for 3D point cloud maps based on an improved voxel...
ver más
|
|
|
|
|
|
|
|
|
Haoran Zhu, Liping Zhu, Lun Luo and Jiao Li
Based on 360 event-based precipitation samples collected at six stations on the North Tibetan Plateau (NTP) in 2019?2020, we analyzed the influence of meteorological parameters, sub-cloud evaporation, moisture sources, and moisture transmission pathways ...
ver más
|
|
|
|
|
|
|
|
|
Anqing Wang, Longwei Li, Haoliang Wang, Bing Han and Zhouhua Peng
In this paper, a swarm trajectory-planning method is proposed for multiple autonomous surface vehicles (ASVs) in an unknown and obstacle-rich environment. Specifically, based on the point cloud information of the surrounding environment obtained from loc...
ver más
|
|
|
|