Multimodal panoptic segmentation of 3D point clouds / by Fabian Dürr.

Format:

Book

Author/Creator:

Dürr, Fabian, author.

Series:

Karlsruher schriften zur anthropomatik ; 1863-6489. band 63

Karlsruher schriften zur anthropomatik, 1863-6489 ; band 63

Language:

English

Subjects (All):

Three-dimensional display systems.

Three-dimensional imaging.

Geographic information systems.

Image processing--Digital techniques.

Image processing.

Optical radar.

Optical data processing.

Information visualization.

Physical Description:

1 online resource

Place of Publication:

Karlsruhe : KIT Scientific Publishing, [2023]

Summary:

"The understanding and interpretation of complex 3D environments is a key challenge of autonomous driving. Lidar sensors and their recorded point clouds are particularly interesting for this challenge since they provide accurate 3D information about the environment. This work presents a multimodal approach based on deep learning for panoptic segmentation of 3D point clouds. It builds upon and combines the three key aspects multi view architecture, temporal feature fusion, and deep sensor fusion."--Publisher's website.

Notes:

Includes bibliographical references.

Open access. This is an Open Access book distributed under the terms of the Creative Commons Attribution 4.0 license (unless stated otherwise), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. Copyright is retained by the author(s).

Description based on website home page, viewed February 20, 2024.