Efficient Multi-Sensor Fusion for 3D Perception
As a critical component to realizing widespread autonomous driving, 3D perception systems have come to be heavily studied in the community. However, many solutions are solely focused on merely achieving the highest accuracy – overlooking other practical considerations such as speed and cost. In this...
Main Author: | Shao, Kevin |
---|---|
Other Authors: | Han, Song |
Format: | Thesis |
Published: |
Massachusetts Institute of Technology
2023
|
Online Access: | https://hdl.handle.net/1721.1/152887 |
Similar Items
-
3D Point Cloud Generation Based on Multi-Sensor Fusion
by: Yulong Han, et al.
Published: (2022-09-01) -
Data fusion based on multi sensor and multiplatform for 3d urban model /
by: 305769 Fong, Wai Yin, et al.
Published: (2009) -
Improving SLAM Techniques with Integrated Multi-Sensor Fusion for 3D Reconstruction
by: Yiyi Cai, et al.
Published: (2024-03-01) -
A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR
by: Xiaobin Xu, et al.
Published: (2022-06-01) -
Towards Compact Autonomous Driving Perception
With Balanced Learning and Multi-Sensor Fusion
by: Natan, Oskar, et al.
Published: (2022)