A Probabilistic Feature Map-Based Localization System Using a Monocular Camera
Image-based localization is one of the most widely researched localization techniques in the robotics and computer vision communities. As enormous image data sets are provided through the Internet, many studies on estimating a location with a pre-built image-based 3D map have been conducted. Most re...
Main Authors: | Hyungjin Kim, Donghwa Lee, Taekjun Oh, Hyun-Taek Choi, Hyun Myung |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2015-08-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/15/9/21636 |
Similar Items
-
Graph Structure-Based Simultaneous Localization and Mapping Using a Hybrid Method of 2D Laser Scan and Monocular Camera Image in Environments with Laser Scan Ambiguity
by: Taekjun Oh, et al.
Published: (2015-07-01) -
Traffic Intersection Re-Identification Using Monocular Camera Sensors
by: Lu Xiong, et al.
Published: (2020-11-01) -
Feature-based RGB-D camera pose optimization for real-time 3D reconstruction
by: Chao Wang, et al.
Published: (2017-03-01) -
Feature Point Registration Model of Farmland Surface and Its Application Based on a Monocular Camera
by: Yang Li, et al.
Published: (2020-07-01) -
Unsupervised Learning of Depth and Camera Pose with Feature Map Warping
by: Ente Guo, et al.
Published: (2021-01-01)