RTL3D: real‐time LIDAR‐based 3D object detection with sparse CNN

RTL3D: real‐time LIDAR‐based 3D object detection with sparse CNN

LIDAR (light detection and ranging) based real‐time 3D perception is crucial for applications such as autonomous driving. However, most of the convolutional neural network (CNN) based methods are time‐consuming and computation‐intensive. These drawbacks are mainly attributed to the highly variable d...

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Bibliographic Details
Main Authors: Lin Yan, Kai Liu, Evgeny Belyaev, Meiyu Duan
Format: Article
Language:English
Published: Wiley 2020-08-01
Series:IET Computer Vision
Subjects:
real-time LIDAR-based 3D object detection
convolutional neural network
LIDAR point cloud
real-time LIDAR-based 3D detector
sparse feature learning network
voxelised 3D data
Online Access:https://doi.org/10.1049/iet-cvi.2019.0508

Internet

https://doi.org/10.1049/iet-cvi.2019.0508

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