15.3.1.11.2 Inertial Navigation, INS

Chapter Contents (Back)
Inertial Navigation.
See also Visual SLAM: Simultaneous Location and Mapping or Matching.

Sawano, H.[Hiroaki], Okada, M.[Minoru],
A Road Extraction Method by an Active Contour Model with Inertia and Differential Features,
IEICE(E89-D), No. 7, July 2006, pp. 2257-2267.
DOI Link 0607
BibRef

Ramanandan, A., Chen, A., Farrell, J.A.,
Inertial Navigation Aiding by Stationary Updates,
ITS(13), No. 1, March 2012, pp. 235-248.
IEEE DOI 1203
BibRef

Alam, N., Kealy, A., Dempster, A.G.,
Cooperative Inertial Navigation for GNSS-Challenged Vehicular Environments,
ITS(14), No. 3, 2013, pp. 1370-1379.
IEEE DOI 1309
Carrier frequency offset (CFO) BibRef

Guan, T.[Tao], He, Y.F.[Yun-Feng], Gao, J.[Juan], Yang, J.Z.[Jian-Zhong], Yu, J.Q.[Jun-Qing],
On-Device Mobile Visual Location Recognition by Integrating Vision and Inertial Sensors,
MultMed(15), No. 7, 2013, pp. 1688-1699.
IEEE DOI 1312
computer vision BibRef

Schlichting, A.[Alexander], Brenner, C.[Claus], Schon, S.[Steffen],
Evaluation of inertial measurement systems using laser scanners and known landmarks,
PFG(2014), No. 1, February 2014, pp. 5-15.
DOI Link 1405
BibRef

Chiang, K.W.[Kai-Wei], Lin, C.A.[Cheng-An], Duong, T.T.[Thanh-Trung],
The Performance Analysis of the Tactical Inertial Navigator Aided by Non-GPS Derived References,
RS(6), No. 12, 2014, pp. 12511-12526.
DOI Link 1412
BibRef

Asadi, E.[Ehsan], Bottasso, C.L.[Carlo L.],
Delayed fusion for real-time vision-aided inertial navigation,
RealTimeIP(10), No. 4, December 2015, pp. 633-646.
Springer DOI 1512
BibRef

Mousa, M., Sharma, K., Claudel, C.G.,
Inertial Measurement Units-Based Probe Vehicles: Automatic Calibration, Trajectory Estimation, and Context Detection,
ITS(19), No. 10, October 2018, pp. 3133-3143.
IEEE DOI 1810
Global Positioning System, Sensors, Trajectory, Probes, Wireless sensor networks, Urban areas, Accelerometers, inertial navigation BibRef

Abolfazli Esfahani, M., Wang, H., Wu, K., Yuan, S.,
AbolDeepIO: A Novel Deep Inertial Odometry Network for Autonomous Vehicles,
ITS(21), No. 5, May 2020, pp. 1941-1950.
IEEE DOI 2005
Inertial odometry, inertial measurement unit (IMU), long short term memories (LSTM), deep neural network, visual-inertial odometry BibRef

Bai, X.W.[Xi-Wei], Wen, W.S.[Wei-Song], Hsu, L.T.[Li-Ta],
Robust Visual-Inertial Integrated Navigation System Aided by Online Sensor Model Adaption for Autonomous Ground Vehicles in Urban Areas,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Shamwell, E.J.[E. Jared], Lindgren, K.[Kyle], Leung, S.[Sarah], Nothwang, W.D.[William D.],
Unsupervised Deep Visual-Inertial Odometry with Online Error Correction for RGB-D Imagery,
PAMI(42), No. 10, October 2020, pp. 2478-2493.
IEEE DOI 2009
Cameras, Trajectory, Image reconstruction, Simultaneous localization and mapping, Estimation, Visualization, neural networks BibRef

Niu, Z.[Zun], Guo, F.[Fugui], Shuai, Q.Q.[Qiang-Qiang], Li, G.C.[Guang-Chen], Zhu, B.C.[Bo-Cheng],
The Integration of GPS/BDS Real-Time Kinematic Positioning and Visual-Inertial Odometry Based on Smartphones,
IJGI(10), No. 10, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Cui, L.[Langfu], Zhang, Q.Z.[Qing-Zhen], Yang, L.M.[Li-Man], Bai, C.G.[Cheng-Gang],
A Performance Prediction Method Based on Sliding Window Grey Neural Network for Inertial Platform,
RS(13), No. 23, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Morales, J.J.[Joshua J.], Khalife, J.J.[Joe J.], Kassas, Z.M.[Zaher M.],
Information Fusion Strategies for Collaborative Inertial Radio SLAM,
ITS(23), No. 8, August 2022, pp. 12935-12952.
IEEE DOI 2208
Global navigation satellite system, Simultaneous localization and mapping, Radio navigation, SLAM BibRef

Liu, X.Y.[Xin-Yu], Zhou, Q.F.[Qing-Feng], Chen, X.[Xiang], Fan, L.S.[Li-Sheng], Cheng, C.T.[Chi-Tsun],
Bias-Error Accumulation Analysis for Inertial Navigation Methods,
SPLetters(29), 2022, pp. 299-303.
IEEE DOI 2202
Measurement uncertainty, Distortion measurement, Trajectory, Temperature measurement, Time measurement, Inertial navigation, sensor arrays BibRef

Jung, J.H.[Jae Hyung], Cha, J.[Jaehyuck], Chung, J.Y.[Jae Young], Kim, T.I.[Tae Ihn], Seo, M.H.[Myung Hwan], Park, S.Y.[Sang Yeon], Yeo, J.Y.[Jong Yun], Park, C.G.[Chan Gook],
Monocular Visual-Inertial-Wheel Odometry Using Low-Grade IMU in Urban Areas,
ITS(23), No. 2, February 2022, pp. 925-938.
IEEE DOI 2202
Land vehicles, Visualization, Global navigation satellite system, Urban areas, Fuses, Accelerometers, Kalman filters, observability analysis BibRef

Fu, D.[Dong], Xia, H.[Hao], Liu, Y.J.[Yu-Jie], Qiao, Y.Y.[Yan-You],
VINS-Dimc: A Visual-Inertial Navigation System for Dynamic Environment Integrating Multiple Constraints,
IJGI(11), No. 2, 2022, pp. xx-yy.
DOI Link 2202
BibRef

Sun, J.[Jin], Ye, Q.Q.[Qian-Qi], Lei, Y.[Yue],
In-Motion Alignment Method of SINS Based on Improved Kalman Filter under Geographic Latitude Uncertainty,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
Strapdown Inertial Navigation System. BibRef

Li, Y.[You], Chen, R.Z.[Rui-Zhi], Niu, X.J.[Xiao-Ji], Zhuang, Y.[Yuan], Gao, Z.Z.[Zhou-Zheng], Hu, X.[Xin], El-Sheimy, N.[Naser],
Inertial Sensing Meets Machine Learning: Opportunity or Challenge?,
ITS(23), No. 8, August 2022, pp. 9995-10011.
IEEE DOI 2208
Sensors, Inertial sensors, Calibration, Inertial navigation, Maximum likelihood estimation, Data models, Time series analysis, location-based service BibRef

Gao, F.Z.[Fang-Zheng], Tang, W.J.[Wen-Jun], Huang, J.[Jiacai], Chen, H.Y.[Hai-Yang],
Positioning of Quadruped Robot Based on Tightly Coupled LiDAR Vision Inertial Odometer,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Liu, H.[Hong], Pan, S.[Shuguo], Gao, W.[Wang], Ma, C.[Chun], Jia, F.S.[Feng-Shuo], Lu, X.Y.[Xin-Yu],
LIDAR-Inertial Real-Time State Estimator with Rod-Shaped and Planar Feature,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Zhang, L.[Liang], Zhang, T.[Tao], Wei, H.Y.[Hong-Yu],
A Novel Robust Inertial and Ultra-Short Baseline Integrated Navigation Strategy Under the Influence of Motion Effect,
ITS(23), No. 10, October 2022, pp. 19323-19334.
IEEE DOI 2210
Navigation, Acoustics, Transponders, Vehicle dynamics, Delay effects, Heuristic algorithms, Earth, USBL, robust filter, motion effect, integrated navigation BibRef

Bao, J.F.[Jun-Fang], Li, J.[Jianli], Qu, C.Y.[Chun-Yu], Li, Y.Z.[Yun-Zhu],
Multi-Node Motion Estimation Method Based on B-Spline of Array Position and Orientation System,
RS(15), No. 11, 2023, pp. 2892.
DOI Link 2306
inertial measurement units. BibRef

Zhang, H.Y.[Hao-Yue], Xu, P.[Peng], Ye, Z.Q.[Zong-Qi], Ye, D.[Dong], Qiang, L.E.[Li-E], Luo, Z.[Ziren], Qi, K.Q.[Ke-Qi], Wang, S.X.[Shao-Xin], Cai, Z.M.[Zhi-Ming], Wang, Z.L.[Zuo-Lei], Lei, J.G.[Jun-Gang], Wu, Y.L.[Yue-Liang],
A Systematic Approach for Inertial Sensor Calibration of Gravity Recovery Satellites and Its Application to Taiji-1 Mission,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Zhi, M.[Meixia], Deng, C.[Chen], Zhang, H.J.[Hong-Juan], Tang, H.Q.[Hong-Qiong], Wu, J.[Jiao], Li, B.[Bijun],
RNGC-VIWO: Robust Neural Gyroscope Calibration Aided Visual-Inertial-Wheel Odometry for Autonomous Vehicle,
RS(15), No. 17, 2023, pp. 4292.
DOI Link 2310
BibRef

Jin, Y.Q.[Yu-Qiang], Zhang, W.A.[Wen-An], Sun, H.[Hu], Yu, L.[Li],
Learning-Aided Inertial Odometry With Nonlinear State Estimator on Manifold,
ITS(24), No. 9, September 2023, pp. 9792-9803.
IEEE DOI 2310
BibRef

Wang, J.[Jinbo], Torres, H.[Hector], Klein, P.[Patrice], Wineteer, A.[Alexander], Zhang, H.[Hong], Menemenlis, D.[Dimitris], Ubelmann, C.[Clement], Rodriguez, E.[Ernesto],
Increasing the Observability of Near Inertial Oscillations by a Future ODYSEA Satellite Mission,
RS(15), No. 18, 2023, pp. 4526.
DOI Link 2310
BibRef

Wang, Z.[Zhong], Zhang, L.[Lin], Shen, Y.[Ying], Zhou, Y.C.[Yi-Cong],
D-LIOM: Tightly-Coupled Direct LiDAR-Inertial Odometry and Mapping,
MultMed(25), 2023, pp. 3905-3920.
IEEE DOI 2310
BibRef


Herath, S.[Sachini], Caruso, D.[David], Liu, C.[Chen], Chen, Y.F.[Yu-Fan], Furukawa, Y.[Yasutaka],
Neural Inertial Localization,
CVPR22(6594-6603)
IEEE DOI 2210
Location awareness, Inertial sensors, Soft sensors, Inertial navigation, Transformers, Energy efficiency, Motion and tracking BibRef

Örnhag, M.V.[Marcus Valtonen], Persson, P.[Patrik], Wadenbäck, M.[Mårten], Åström, K.[Kalle], Heyden, A.[Anders],
Trust Your IMU: Consequences of Ignoring the IMU Drift,
WAD22(4467-4476)
IEEE DOI 2210
Measurement units, Codes, Inertial navigation, Distortion, Real-time systems BibRef

Rebello, J.[Jason], Li, C.[Chunshang], Waslander, S.L.[Steven L.],
DC-VINS: Dynamic Camera Visual Inertial Navigation System with Online Calibration,
TradiCV21(2559-2568)
IEEE DOI 2112
Visualization, Simultaneous localization and mapping, Dynamics, Pipelines, Cameras, Calibration, Trajectory BibRef

Petit, B., Guillemard, R., Gay-Bellile, V.,
Time Shifted IMU Preintegration for Temporal Calibration in Incremental Visual-Inertial Initialization,
3DV20(171-179)
IEEE DOI 2102
Time measurement, Visualization, Optimization, Location awareness, Real-time systems, Gyroscopes, Calibration, SLAM, IMU, Initialization, Camera BibRef

Li, C., Waslander, S.L.,
Towards End-to-end Learning of Visual Inertial Odometry with an EKF,
CRV20(190-197)
IEEE DOI 2006
visual inertial odometry, localization, deep learning, robo-centric EKF, supervised deep learning BibRef

Nisar, B.[Barza], Foehn, P.[Philipp], Falanga, D.[Davide], Scaramuzza, D.[Davide],
VIMO: Simultaneous Visual Inertial Model-based Odometry and Force Estimation,
RSS19. (xx-yy).
HTML Version. 2009
Code, Odometry. Extends the capability of a typical optimization-based Visual-Inertial Odometry framework to jointly estimate external forces in addition to the robot state and IMU bias BibRef

Liu, H., Chen, M., Zhang, G., Bao, H., Bao, Y.,
ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAM,
CVPR18(1974-1982)
IEEE DOI 1812
Simultaneous localization and mapping, Visualization, Optimization, Task analysis,Time measurement, Cameras BibRef

Ovrén, H., Forssén, P.,
Spline Error Weighting for Robust Visual-Inertial Fusion,
CVPR18(321-329)
IEEE DOI 1812
Splines (mathematics), Cameras, Videos, Approximation error, Trajectory, Discrete Fourier transforms, Standards BibRef

Khattak, S.[Shehryar], Papachristos, C.[Christos], Alexis, K.[Kostas],
Marker Based Thermal-Inertial Localization for Aerial Robots in Obscurant Filled Environments,
ISVC18(565-575).
Springer DOI 1811
BibRef

Khattak, S.[Shehryar], Papachristos, C.[Christos], Alexis, K.[Kostas],
Vision-Depth Landmarks and Inertial Fusion for Navigation in Degraded Visual Environments,
ISVC18(529-540).
Springer DOI 1811
BibRef

Yan, H.[Hang], Shan, Q.[Qi], Furukawa, Y.[Yasutaka],
RIDI: Robust IMU Double Integration,
ECCV18(XIII: 641-656).
Springer DOI 1810
BibRef

Solin, A., Cortes, S., Rahtu, E., Kannala, J.,
PIVO: Probabilistic Inertial-Visual Odometry for Occlusion-Robust Navigation,
WACV18(616-625)
IEEE DOI 1806
distance measurement, image sensors, image sequences, inertial navigation, inference mechanisms, probability, Visualization BibRef

Fei, X.H.[Xiao-Han], Soatto, S.[Stefano],
Visual-Inertial Object Detection and Mapping,
ECCV18(XI: 318-334).
Springer DOI 1810
BibRef

Dong, J.M.[Jing-Ming], Fei, X.H.[Xiao-Han], Soatto, S.[Stefano],
Visual-Inertial-Semantic Scene Representation for 3D Object Detection,
CVPR17(3567-3577)
IEEE DOI 1711
Detectors, Real-time systems, Semantics, Sensor phenomena and characterization, Visualization BibRef

Li, Z.Q.[Zi-Qiang], Liu, X.H.[Xiao-Hui], Liu, Y.X.[Ying-Xiang], Li, B.[Boyu],
An inertial information assisted acquisition algorithm of modernized navigation signal,
ICIVC17(836-841)
IEEE DOI 1708
Accelerometers, Navigation, Signal to noise ratio, GNSS, INS, acquisition, high dynamic, modernized, weak, signal BibRef

Ahmed, H., Tahir, M.,
Accurate Attitude Estimation of a Moving Land Vehicle Using Low-Cost MEMS IMU Sensors,
ITS(18), No. 7, July 2017, pp. 1723-1739.
IEEE DOI 1706
Acceleration, Accelerometers, Estimation, Gyroscopes, Micromechanical devices, Sensors, Vehicles, Kalman filter, MEMS IMU, Vehicle attitude, attitude estimation, external, acceleration BibRef

Kawasaki, H.[Hideaki], Anzai, S.[Shojiro], Koizumi, T.[Toshio],
Study On Improvement Of Accuracy In Inertial Photogrammetry By Combining Images With Inertial Measurement Unit,
ISPRS16(B5: 501-505).
DOI Link 1610
BibRef

Molina, P., Angelats, E., Colomina, I., Latorre, A., Montaño, J., Wis, M.,
The Perigeo Project: Inertial and Imaging Sensors Processing, Integration and Validation on UAV Platforms for Space Navigation,
EuroCOW14(79-85).
DOI Link 1404
BibRef

di Corato, F., Innocenti, M., Pollini, L.,
Visual-inertial navigation with guaranteed convergence,
WORV13(152-157)
IEEE DOI 1307
Kalman filters BibRef

Cheuk, C.M.[Chi Ming], Lau, T.K.[Tak Kit], Lin, K.W.[Kai Wun], Liu, Y.[Yunhui],
Automatic calibration for inertial measurement unit,
ICARCV12(1341-1346).
IEEE DOI 1304
BibRef

Hun, L.C.[Lim Chot], Sze, L.T.[Lim Tien], Chet, K.V.[Koo Voon],
A PC-based orientation sensing using 9-DOF strapdown inertial measurement unit,
ICARCV12(229-234).
IEEE DOI 1304
BibRef

Shen, Z.[Zhi], Georgy, J.[Jacques], Noureldin, A.[Aboelmagd],
Enabling accurate low cost positioning in denied GPS environments with nonlinear error models of inertial systems,
CGC10(43).
PDF File. 1006
BibRef

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Vehicle Trajectory Planning .


Last update:May 6, 2024 at 15:50:14