Event-Based Visual/Inertial Odometry for UAV Indoor Navigation
Indoor navigation is becoming increasingly essential for multiple applications. It is complex and challenging due to dynamic scenes, limited space, and, more importantly, the unavailability of global navigation satellite system (GNSS) signals. Recently, new sensors have emerged, namely event cameras...
Saved in:
Main Authors: | Ahmed Elamin, Ahmed El-Rabbany, Sunil Jacob |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-12-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/25/1/61 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Lightweight resilience: Advancing visual-inertial odometry with deep convolutional networks and an intelligent learnable Kalman filter for defense against laser remote attacks
by: A. Ebrahimi, et al.
Published: (2025-01-01) -
Positioning and Navigation Using IMUs and Low-Cost Sensors
by: Patrick Grates
Published: (2024-01-01) -
IMU Optimal Rotation Rates
by: Patrick Grates
Published: (2024-01-01) -
A hybrid indoor localization algorithm based on RSSI and inertial navigation
by: Yaping ZHU, et al.
Published: (2017-10-01) -
A Novel Real-Time Autonomous Localization Algorithm Based on Weighted Loosely Coupled Visual–Inertial Data of the Velocity Layer
by: Cheng Liu, et al.
Published: (2025-01-01)