☆ 4.6 Article

Wheel-SLAM: Simultaneous Localization and Terrain Mapping Using One Wheel-Mounted IMU

IEEE ROBOTICS AND AUTOMATION LETTERS (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Robotics

FAST-LIO2: Fast Direct LiDAD-Inertial Odometry

Wei Xu et al.

Summary: This article presents FAST-LIO2, a fast, robust, and versatile LiDAR-inertial odometry framework. It introduces two key novelties, the direct registration of raw points to the map and the use of an incremental k-dimensional tree data structure for map maintenance. FAST-LIO2 achieves superior performance compared to existing methods and supports various LiDAR configurations and platforms.

IEEE TRANSACTIONS ON ROBOTICS (2022)

添加到收藏夹

Proceedings Paper Computer Science, Artificial Intelligence

Neural Inertial Localization

Sachini Herath et al.

Summary: This paper proposes a solution called NILoc for the inertial localization problem, which estimates absolute location from a sequence of inertial sensor measurements. The solution utilizes neural inertial navigation technique and transformer-based neural architecture, achieving faster and competitive results compared to state-of-the-art methods.

2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022) (2022)

添加到收藏夹

Article Engineering, Electrical & Electronic

Wheel-INS: A Wheel-Mounted MEMS IMU-Based Dead Reckoning System

Xiaoji Niu et al.

Summary: This article proposes a complete dead reckoning (DR) solution called Wheel-INS, which is based on a wheel-mounted microelectromechanical system (MEMS) inertial measurement unit (IMU). By mounting the IMU to the center of a non-steering wheel, the system can calculate wheel speed and mitigate error drift, resulting in improved accuracy and robustness of the inertial navigation system. Experimental results show that Wheel-INS outperforms traditional odometer-aided INS and has inherent immunity to constant bias error of gyroscopes.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2021)

添加到收藏夹

Article Engineering, Electrical & Electronic

A Comparison of Three Measurement Models for the Wheel-Mounted MEMS IMU-Based Dead Reckoning System

Yibin Wu et al.

Summary: This study explores three measurement models in a Wheel-IMU based DR system and successfully improves the system's performance by fusing them with INS using EKF. Experimental results demonstrate that the displacement increment measurement model is less sensitive to the lever arm error between the Wheel-IMU and the wheel center, leading to overall stability in performance.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2021)

添加到收藏夹

Article Engineering, Aerospace

INS/Odometer Land Navigation by Accurate Measurement Modeling and Multiple-Model Adaptive Estimation

Wei Ouyang et al.

Summary: This article extensively studies the land vehicle navigation system based on INS and OD, analyzing the error characteristics of OD pulses and presenting three OD measurement models. The proposed methods are verified through simulations and long-distance experiments, showing the feasibility and effectiveness of the approach.

IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS (2021)

添加到收藏夹

Article Computer Science, Information Systems

Inertial-Sensor-Based Non-Dead Reckoning Localization for Ground Vehicles

Juhui Gim et al.

Summary: This paper introduces an inertial sensor-based positioning method that utilizes a feature-indexed map, Kalman filter, and interacting multiple model to achieve higher positioning accuracy and shorter computing time. It can be used as a complementary or alternative positioning method to GPS, using only a cheap and reliable inertial sensor.

IEEE ACCESS (2021)

添加到收藏夹

Review Engineering, Aerospace

Indoor navigation: state of the art and future trends

Naser El-Sheimy et al.

Summary: This paper reviews the current status and future trends of indoor Positioning, Localization, and Navigation (PLAN), covering the requirements, main players, sensors, and techniques for indoor PLAN. It highlights the importance of environmental perception sensors such as HD map, LiDAR, camera, 5G, and IoT signals in enhancing the intelligence and robustness of PLAN systems under the integration of advanced sensors, multi-platform/device/sensor fusion, self-learning systems, and AI, 5G, IoT, and edge/fog computing.

SATELLITE NAVIGATION (2021)

添加到收藏夹

Article Environmental Sciences

A Real Time Localization System for Vehicles Using Terrain-Based Time Series Subsequence Matching

Hongjuan Zhang et al.

REMOTE SENSING (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

AI-IMU Dead-Reckoning

Martin Brossard et al.

IEEE TRANSACTIONS ON INTELLIGENT VEHICLES (2020)

添加到收藏夹

Article Engineering, Civil

A Terrain-Based Vehicle Localization Approach Robust to Braking

Tianyi Li et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)

添加到收藏夹

Article Chemistry, Analytical

Artificial Marker and MEMS IMU-Based Pose Estimation Method to Meet Multirotor UAV Landing Requirements

Yibin Wu et al.

SENSORS (2019)

添加到收藏夹

Proceedings Paper Automation & Control Systems

Visual-Inertial Navigation: A Concise Review

Guoquan Huang

2019 INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA) (2019)

添加到收藏夹

Article Robotics

VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator

Tong Qin et al.

IEEE TRANSACTIONS ON ROBOTICS (2018)

添加到收藏夹

Article Robotics

Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age

Cesar Cadena et al.

IEEE TRANSACTIONS ON ROBOTICS (2016)

添加到收藏夹

Proceedings Paper Engineering, Electrical & Electronic

Terrain-based Vehicle Localization Using Low Cost MEMS-IMU Sensors

Hamad Ahmed et al.

2016 IEEE 83RD VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING) (2016)

添加到收藏夹

Article Engineering, Civil

Vehicle Localization Using In-Vehicle Pitch Data and Dynamical Models

Emil I. Laftchiev et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2015)

添加到收藏夹

Article Engineering, Electrical & Electronic

FootSLAM: Pedestrian Simultaneous Localization and Mapping Without Exteroceptive Sensors-Hitchhiking on Human Perception and Cognition

Michael Angermann et al.

PROCEEDINGS OF THE IEEE (2012)

添加到收藏夹

Article Engineering, Mechanical

Terrain-based road vehicle localisation using particle filters

A. Dean et al.

VEHICLE SYSTEM DYNAMICS (2011)

添加到收藏夹

Article Robotics

Improved techniques for grid mapping with Rao-Blackwellized particle filters

Giorgio Grisetti et al.

IEEE TRANSACTIONS ON ROBOTICS (2007)

添加到收藏夹

Article Engineering, Electrical & Electronic

Particle filtering

PM Djuric et al.

IEEE SIGNAL PROCESSING MAGAZINE (2003)

添加到收藏夹

Article Automation & Control Systems

The aiding of a low-cost strapdown inertial measurement unit using vehicle model constraints for land vehicle applications

G Dissanayake et al.

IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION (2001)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.