Visual and lidar-based SLAM by variational bayesian methods
Autonomous vehicles, such as self-driving cars, unmanned aerial vehicles, planetary rovers, and autonomous underwater vehicles, have found applications in a wide variety of domains in recent years, from transportation to searching, rescue, and military. A major challenge for designing autonomous veh...
Main Author: | Jiang, Xiaoyue |
---|---|
Other Authors: | Justin Dauwels |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2020
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/139813 |
Similar Items
-
Robust visual SLAM for autonomous vehicles in challenging environments
by: Ji, Tete
Published: (2022) -
Visual-inertial SLAM algorithm based on enhanced feature extraction and sensor coupling
by: Zheng, Yumin
Published: (2022) -
RGB-D SLAM based on quadrotor platform
by: Zhou, Caijie
Published: (2022) -
UWB/LiDAR fusion for cooperative range-only SLAM
by: Song, Yang, et al.
Published: (2020) -
On-board 3-D SLAM for AGV localization
by: Chen, Yongyao
Published: (2020)