Cargando…

ACK-MSCKF: Tightly-Coupled Ackermann Multi-State Constraint Kalman Filter for Autonomous Vehicle Localization

Visual-Inertial Odometry (VIO) is subjected to additional unobservable directions under the special motions of ground vehicles, resulting in larger pose estimation errors. To address this problem, a tightly-coupled Ackermann visual-inertial odometry (ACK-MSCKF) is proposed to fuse Ackermann error st...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ma, Fangwu, Shi, Jinzhu, Yang, Yu, Li, Jinhang, Dai, Kai
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864737/ https://www.ncbi.nlm.nih.gov/pubmed/31694304 http://dx.doi.org/10.3390/s19214816

Ejemplares similares

Consistent Monocular Ackermann Visual–Inertial Odometry for Intelligent and Connected Vehicle Localization
por: Ma, Fangwu, et al.
Publicado: (2020)

Consistent Extended Kalman Filter-Based Cooperative Localization of Multiple Autonomous Underwater Vehicles
por: Zhang, Fubin, et al.
Publicado: (2022)

Der Ackermann aus Kärnten : Roman /
por: Winkler, Josef, 1953-
Publicado: (2005)

Tightly Coupled GNSS/INS Integration with Robust Sequential Kalman Filter for Accurate Vehicular Navigation
por: Dong, Yi, et al.
Publicado: (2020)

Trainable Quaternion Extended Kalman Filter with Multi-Head Attention for Dead Reckoning in Autonomous Ground Vehicles
por: Milam, Gary, et al.
Publicado: (2022)

Life in science: Hans-W. Ackermann
por: Ackermann, Hans-W.
Publicado: (2012)

Ackermann und Partner : buildings and projects, 1978-1998 = Bauten und Projekte /
Publicado: (1998)

A Remote Control Strategy for an Autonomous Vehicle with Slow Sensor Using Kalman Filtering and Dual-Rate Control
por: Cuenca, Ángel, et al.
Publicado: (2019)

Dual MIMU Pedestrian Navigation by Inequality Constraint Kalman Filtering
por: Shi, Wei, et al.
Publicado: (2017)

Vehicle Localization Kalman Filtering for Traffic Light Advisor Application in Urban Scenarios
por: Vignarca, Daniele, et al.
Publicado: (2023)

Robust Adaptive Cubature Kalman Filter and Its Application to Ultra-Tightly Coupled SINS/GPS Navigation System
por: Zhao, Xin, et al.
Publicado: (2018)

Procapra Przewalskii Tracking Autonomous Unmanned Aerial Vehicle Based on Improved Long and Short-Term Memory Kalman Filters
por: Luo, Wei, et al.
Publicado: (2023)

LiDAR-Based Sensor Fusion SLAM and Localization for Autonomous Driving Vehicles in Complex Scenarios
por: Dai, Kai, et al.
Publicado: (2023)

The Joint Adaptive Kalman Filter (JAKF) for Vehicle Motion State Estimation
por: Gao, Siwei, et al.
Publicado: (2016)

Features of Invariant Extended Kalman Filter Applied to Unmanned Aerial Vehicle Navigation
por: Ko, Nak Yong, et al.
Publicado: (2018)

Preview Control with Dynamic Constraints for Autonomous Vehicles
por: Li, Rui, et al.
Publicado: (2021)

Multi-Object Tracking with Correlation Filter for Autonomous Vehicle
por: Zhao, Dawei, et al.
Publicado: (2018)

Historia antigua de México: (Facsimil edición Ackermann 1826)
por: Clavijero, Francisco Javier
Publicado: (2019)

Historia antigua de México: (Facsimil edición Ackermann 1826)
por: Clavijero, Francisco Javier, et al.
Publicado: (2019)

Robust Kalman Filter Aided GEO/IGSO/GPS Raw-PPP/INS Tight Integration
por: Gao, Zhouzheng, et al.
Publicado: (2019)

Inferring the connectivity of coupled chaotic oscillators using Kalman filtering
por: Forero-Ortiz, E., et al.
Publicado: (2021)

RFID Data-Driven Vehicle Speed Prediction via Adaptive Extended Kalman Filter
por: Huang, Yupin, et al.
Publicado: (2018)

Tightly Coupled Integration of GPS Ambiguity Fixed Precise Point Positioning and MEMS-INS through a Troposphere-Constrained Adaptive Kalman Filter
por: Han, Houzeng, et al.
Publicado: (2016)

A Simplified Baseband Prefilter Model with Adaptive Kalman Filter for Ultra-Tight COMPASS/INS Integration
por: Luo, Yong, et al.
Publicado: (2012)

Kalman filtering : theory and practice using MATLAB /
por: Grewal, Mohinder S.
Publicado: (2001)

Multi-Sensor Fusion for Underwater Vehicle Localization by Augmentation of RBF Neural Network and Error-State Kalman Filter
por: Shaukat, Nabil, et al.
Publicado: (2021)

Progressive track finding coupled with track fitting by the Kalman filtering method
por: Billoir, P, et al.
Publicado: (1991)

Design of Low-Cost Vehicle Roll Angle Estimator Based on Kalman Filters and an IoT Architecture
por: Garcia Guzman, Javier, et al.
Publicado: (2018)

Vehicle State Estimation Combining Physics-Informed Neural Network and Unscented Kalman Filtering on Manifolds
por: Tan, Chenkai, et al.
Publicado: (2023)

Mathematics of Kalman-Bucy filtering
por: Ruymgaart, Peter A, et al.
Publicado: (1985)

Kalman filtering and neural networks
por: Haykin, Simon S
Publicado: (2001)

Kalman filtering: theory and application
por: Sorenson, Harold Wayne
Publicado: (1985)

A Kalman Filter Primer
por: Eubank, R L
Publicado: (2006)

Mathematics of Kalman-Bucy filtering
por: Ruymgaart, Peter A, et al.
Publicado: (1988)

Fundamentals of Kalman filtering : a practical approach /
por: Zarchan, Paul
Publicado: (2000)

Adaptive Iterated Extended Kalman Filter and Its Application to Autonomous Integrated Navigation for Indoor Robot
por: Xu, Yuan, et al.
Publicado: (2014)

Autonomous Navigation for Autonomous Underwater Vehicles Based on Information Filters and Active Sensing
por: He, Bo, et al.
Publicado: (2011)

Robust Distributed Kalman Filtering: On the Choice of the Local Tolerance
por: Emanuele, Alessandro, et al.
Publicado: (2020)

A Fuzzy-Innovation-Based Adaptive Kalman Filter for Enhanced Vehicle Positioning in Dense Urban Environments
por: Woo, Rinara, et al.
Publicado: (2019)

Extended Kalman Filter (EKF) Design for Vehicle Position Tracking Using Reliability Function of Radar and Lidar
por: Kim, Taeklim, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_er5kjabmksvd4advvq39i9vp1u