LiDAR odometry and localization has attracted increasing research intere...
Vehicle odometry is an essential component of an automated driving syste...
Graph convolutional networks (GCNs) are widely used in graph-based
appli...
Point cloud patterns are hard to learn because of the implicit local geo...
Visual attention learning (VAL) aims to produce a confidence map as weig...
Deep learning based LiDAR odometry (LO) estimation attracts increasing
r...
In contrast to the literature where the graph local patterns are capture...
In recent years, convolutional neural network has gained popularity in m...
In a world where autonomous driving cars are becoming increasingly more
...
In this paper, a scalable neural network hardware architecture for image...
In contrast to the literature where local patterns in 3D point clouds ar...
Graph convolutional networks (GCNs) suffer from the irregularity of grap...
In automated driving systems (ADS) and advanced driver-assistance system...
This paper presents an accurate and fast algorithm for road segmentation...
This paper presents the FPGA design of a convolutional neural network (C...