Abstract: Voxel-based methods have been widely used in point cloud 3D object detection. These methods usually transform points into voxels while suffering ...

2021/06/04 · And experiments on KITTI show that our VIC-Net outperforms existing methods and VIC-RCNN achieves new state-of-the-art performance. II. RELATED ...

A robust network that views voxels as points to accurately detect 3-D objects in LiDAR point clouds and can capture objects' internal relationships is ...

Voxel-based methods have been widely used in point cloud 3D object detection. These methods usually transform points into voxels while ...

VIC-Net: Voxelization information compensation network for point cloud 3D object detection. T Jiang, N Song, H Liu, R Yin, Y Gong, J Yao. 2021 IEEE ...

T. Jiang, N. Song, H. Liu, R, et al., VIC-Net: Voxelization Information Compensation Network for Point Cloud 3D Object Detection, in: Proc. ICRA, 2021, pp.

2024/03/10 · Abstract— We present a new 3D point-based detector model, named Shift-SSD, for precise 3D object detection in autonomous driving.

2024/04/17 · Yao, 2021, “Vic-net: Voxelization information compensation network for point cloud 3d object detection,” in 2021 IEEE International ...

We work from both data and network perspectives, designing a feature alignment filtering algorithm and a two-stage 3D object detection network.

Therefore, we present a robust network [voxel-as-point network (VP-Net)] that views voxels as points to accurately detect 3-D objects in LiDAR point clouds and ...