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Vehicle-Borne Multi-Sensor Temporal-Spatial Pose Globalization via Cross-Domain Data Association
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 页码: 14
作者:
Gao, Xiang
;
Tao, Dongdong
;
Liu, Yuqian
;
Xie, Zexiao
;
Shen, Shuhan
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/11/17
Index Terms-Urban scene 3D mapping
image and LiDAR
pose globalization
cross-domain data association
GNSS/IMU
Covariance Estimation for Pose Graph Optimization in Visual-Inertial Navigation Systems
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 6, 页码: 3657-3667
作者:
Shi, Pengcheng
;
Zhu, Zhikai
;
Sun, Shiying
;
Rong, Zheng
;
Zhao, Xiaoguang
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
Covariance estimation
loop closing
pose graph optimization
visual-inertial odometry
Bidirectional Trajectory Computation for Odometer-Aided Visual-Inertial SLAM
期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2021, 卷号: 6, 期号: 2, 页码: 1670-1677
作者:
Liu, Jinxu
;
Gao, Wei
;
Hu, Zhanyi
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  |  
浏览/下载:34/0
  |  
提交时间:2021/04/27
SLAM
sensor fusion
visual-inertial SLAM
Predicting the Noise Covariance With a Multitask Learning Model for Kalman Filter-Based GNSS/INS Integrated Navigation
期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 13
作者:
Wu, Fan
;
Luo, Haiyong
;
Jia, Hongwei
;
Zhao, Fang
;
Xiao, Yimin
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  |  
浏览/下载:27/0
  |  
提交时间:2021/12/01
Adaptive integrated navigation
deep learning
denoising autoencoder (DAE)
Kalman filter (KF)
measurement noise
process noise
GR-LOAM: LiDAR-based sensor fusion SLAM for ground robots on complex terrain
期刊论文
Robotics and Autonomous Systems, 2021, 卷号: 140, 页码: 1-13
作者:
Su Y(苏赟)
;
Wang T(王挺)
;
Shao SL(邵士亮)
;
Yao C(姚辰)
;
Wang ZD(王志东)
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  |  
浏览/下载:14/0
  |  
提交时间:2021/03/14
Simultaneous localization and mapping (SLAM)
Ground robot
Encoder
Sensor fusion
Tight coupling scheme
RL-AKF: An Adaptive Kalman Filter Navigation Algorithm Based on Reinforcement Learning for Ground Vehicles
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 11, 页码: 25
作者:
Gao, Xile
;
Luo, Haiyong
;
Ning, Bokun
;
Zhao, Fang
;
Bao, Linfeng
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2020/12/10
integrated navigation
Kalman filter
process noise covariance estimation
reinforcement learning
deep deterministic policy gradient
Adaptive Kalman filtering-based pedestrian navigation algorithm for smartphones
期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2020, 卷号: 17, 期号: 3, 页码: 14
作者:
Yu, Chen
;
Luo, Haiyong
;
Fang, Zhao
;
Qu, Wang
;
Shao, Wenhua
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  |  
浏览/下载:9/0
  |  
提交时间:2020/12/10
Pedestrian navigation
error model system
inertial sensors integration
magnetic field
heading estimation
Research on Underwater Navigation and Positioning Method Based on Sea Surface Buoys and Undersea Beacons
会议论文
Chengdu, China, 2020-11-22
作者:
Zhai, Wei
;
Wu, Jiali
;
Chen, Yaru
;
Jing, Zengzeng
;
Sun, Guang
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  |  
浏览/下载:18/0
  |  
提交时间:2020/06/28
Underwater vehicle
Positioning
RTK
Undersea beacons
Attitude estimation method based on extended Kalman filter algorithm with 22 dimensional state vector for low-cost agricultural UAV
期刊论文
High Technology Letters, 2020, 卷号: 26, 期号: 2, 页码: 125-135
作者:
H. Wu, X. Pei, J. Li, H. Gao and Y. Bai
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  |  
浏览/下载:2/0
  |  
提交时间:2021/07/06
A Survey of the Research Status of Pedestrian Dead Reckoning Systems Based on Inertial Sensors
期刊论文
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 65-83
作者:
Wu, Yuan
;
Zhu, Haibing
;
Du, Qingxiu
;
Tang, Shuming
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  |  
浏览/下载:206/0
  |  
提交时间:2019/05/04
Inertial Measurement Unit (Imu)
Pedestrian Dead-reckoning
Indoor Navigation
Technical Route
General Framework
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