Obstacle detection and SLAM techniques for autonomous vehicles
Autonomous robots have been thoroughly investigated over the years, driven by their diverse applications, including exploration, navigation, surveillance, and so on. To accomplish these missions, it is crucial for robots to detect and map obstacles in unknown environments. Simultaneous Localization...
Saved in:
Main Author: | Chen, Jiaying |
---|---|
Other Authors: | Anamitra Makur |
Format: | Thesis-Doctor of Philosophy |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/174613 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Robust visual SLAM for autonomous vehicles in challenging environments
by: Ji, Tete
Published: (2022) -
Fundamental design of an autonomous underwater vehicle with sonar-based SLAM
by: Govind, Siddesh
Published: (2020) -
Autonomous flight of an unmanned aerial vehicle (UAV) based on vision SLAM
by: Li, Jingning
Published: (2017) -
Stereo vision for obstacle detection in autonomous vehicle navigation
by: SAMEERA KODAGODA
Published: (2011) -
Extending Bayesian RFS SLAM to multi-vehicle SLAM
by: Moratuwage, Diluka, et al.
Published: (2013)