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A survey on graph neural networks for time series: Forecasting, classification, imputation, and anomaly detection
Time series are the primary data type used to record dynamic system measurements and
generated in great volume by both physical sensors and online processes (virtual sensors) …
generated in great volume by both physical sensors and online processes (virtual sensors) …
[HTML][HTML] A survey on deep-learning-based lidar 3d object detection for autonomous driving
LiDAR is a commonly used sensor for autonomous driving to make accurate, robust, and fast
decision-making when driving. The sensor is used in the perception system, especially …
decision-making when driving. The sensor is used in the perception system, especially …
GraphAlign: Enhancing accurate feature alignment by graph matching for multi-modal 3D object detection
LiDAR and cameras are complementary sensors for 3D object detection in autonomous
driving. However, it is challenging to explore the unnatural interaction between point clouds …
driving. However, it is challenging to explore the unnatural interaction between point clouds …
Graphbev: Towards robust bev feature alignment for multi-modal 3d object detection
Integrating LiDAR and camera information into Bird's-Eye-View (BEV) representation has
emerged as a crucial aspect of 3D object detection in autonomous driving. However …
emerged as a crucial aspect of 3D object detection in autonomous driving. However …
Vehicle detection for autonomous driving: A review of algorithms and datasets
Nowadays, vehicles with a high level of automation are being driven everywhere. With the
apparent success of autonomous driving technology, we keep working to achieve fully …
apparent success of autonomous driving technology, we keep working to achieve fully …
Neighbor-aware deep multi-view clustering via graph convolutional network
Multi-view clustering (MVC) enhances the clustering performance of data by combining
correlation information from different views. However, most existing MVC approaches …
correlation information from different views. However, most existing MVC approaches …
VP-Net: Voxels as points for 3-D object detection
Z Song, H Wei, C Jia, Y ** research topic in autonomous driving and other domains. The fundamental …