KIEE
The Transactions of
the Korean Institute of Electrical Engineers
KIEE
Contact
Open Access
Monthly
ISSN : 1975-8359 (Print)
ISSN : 2287-4364 (Online)
http://www.tkiee.org/kiee
Mobile QR Code
The Transactions of the Korean Institute of Electrical Engineers
ISO Journal Title
Trans. Korean. Inst. Elect. Eng.
Main Menu
Main Menu
최근호
Current Issue
저널소개
About Journal
논문집
Journal Archive
편집위원회
Editorial Board
윤리강령
Ethics Code
논문투고안내
Instructions to Authors
연락처
Contact Info
논문투고·심사
Submission & Review
Journal Search
Home
Archive
2019-01
(Vol.68 No.01)
10.5370/KIEE.2019.68.1.189
Journal XML
XML
PDF
INFO
REF
References
1
Shen S., Michael N., Kumar V., 2015, Tightly-coupled monocular visual-inertial fusion for autonomous flight of rotorcraft MAVs, Proc. - IEEE Int. Conf. Robot. Autom., Vol. 2015-June, No. June, pp. 5303-5310
2
Weiss S., Siegwart R., 2011, Real-time metric state estimation for modular vision-inertial systems, Proc. - IEEE Int. Conf. Robot. Autom., pp. 4531-4537
3
Huang G., Kaess M., Leonard J. J., 2014, Towards consistent visual-inertial navigation, in Proceedings - IEEE International Conference on Robotics and Automation, pp. 4926-4933
4
Leutenegger S., Lynen S., Bosse M., Siegwart R., Furgale P., Mar. 2015, Keyframe-based visual-inertial odometry using nonlinear optimization, Int. J. Rob. Res., Vol. 34, No. 3, pp. 314-334
5
Mur-Artal R., Tardos J. D., Oct. 2017, ORB-SLAM2: An Open-Source SLAM System for Monocular, Stereo, and RGB-D Cameras, IEEE Trans. Robot., Vol. 33, No. 5, pp. 1255-1262
6
Qin T., Li P., Shen S., 2017, VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator, IEEE Trans. Robot., Vol. 34, No. 4, pp. 1004-1020
7
Schneider T. et al., 2017, maplab: An Open Framework for Research in Visual-inertial Mapping and Localization, Vol. 3, No. 3, pp. 1418-1425
8
Mei C., Sibley G., Newman P., 2010, Closing loops without places, in IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Conference Proceedings, pp. 3738-3744
9
Kümmerle R., Grisetti G., Strasdat H., Konolige K., Burgard W., 2011, G2o: A general framework for graph optimization, Proc. - IEEE Int. Conf. Robot. Autom., pp. 3607-3613
10
Schmid K., Hirschmuller H., 2013, Stereo vision and IMU based real-time ego-motion and depth image computation on a handheld device, in Proceedings - IEEE International Conference on Robotics and Automation, pp. 4671-4678
11
Lee B., Yun S., Lee H. K., Lee Y. J., Sung S., 2016, An efficient attitude reference system design using velocity differential vectors under weak acceleration dynamics, Int. J. Aeronaut. Sp. Sci., Vol. 17, No. 2, pp. 222-231
12
Lee B., Lee Y. J., Sung S., Jun. 2018, Attitude Determination Algorithm based on Relative Quaternion Geometry of Velocity Incremental Vectors for Cost Efficient AHRS Design, Int. J. Aeronaut. Sp. Sci., Vol. 19, No. 2, pp. 459-469
13
Burri M. et al., 2016, The EuRoC micro aerial vehicle datasets, Int. J. Rob. Res., Vol. 35, No. 10, pp. 1157-1163
14
Bailey T., Durrant-Whyte H., 2006, Simultaneous localization and mapping (SLAM): Part I
15
Mourikis A. I., Roumeliotis S. I., 2007, A multi-state constraint Kalman filter for vision-aided inertial navigation, in Proceedings - IEEE International Conference on Robotics and Automation, pp. 3565-3572
16
Kelly J., Sukhatme G. S., 2011, Visual-inertial sensor fusion: Localization, mapping and sensor-to-sensor Self-calibration, Int. J. Rob. Res., Vol. 30, No. 1, pp. 56-79
17
Li M., Mourikis A. I., 2012, Improving the accuracy of EKF-based visual-inertial odometry, in Proceedings - IEEE International Conference on Robotics and Automation, pp. 828-835
18
Li M., Mourikis A. I., May 2013, High-precision, consistent EKF-based visual-inertial odometry, Int. J. Rob. Res., Vol. 32, No. 6, pp. 690-711
19
Tanskanen P., Naegeli T., Pollefeys M., Hilliges O., 2015, Semi-direct EKF-based monocular visual-inertial odometry, in IEEE International Conference on Intelligent Robots and Systems, Vol. 2015-Decem, pp. 6073-6078
20
Bloesch M., Omari S., Hutter M., Siegwart R., 2015, Robust visual inertial odometry using a direct EKF- based approach, in IEEE International Conference on Intelligent Robots and Systems, Vol. 2015-Decem, pp. 298-304
21
Bloesch M., Burri M., Omari S., Hutter M., Siegwart R., 2017, Iterated extended Kalman filter based visual- inertial odometry using direct photometric feedback, Int. J. Rob. Res., Vol. 36, No. 10, pp. 1053-1072
22
Sun K. et al., 2017, Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight, Vol. 3, No. 2, pp. 965-972
23
Lynen S., Achtelik M. W., Weiss S., Chli M., Siegwart R., 2013, A robust and modular multi-sensor fusion approach applied to MAV navigation, in IEEE International Conference on Intelligent Robots and Systems, pp. 3923-3929
24
Shen S., Mulgaonkar Y., Michael N., Kumar V., 2014, Multi-sensor fusion for robust autonomous flight in indoor and outdoor environments with a rotorcraft MAV, in Proceedings - IEEE International Conference on Robotics and Automation, pp. 4974-4981
25
Mur-Artal R., Montiel J. M. M., Tardos J. D., 2015, ORB-SLAM: A Versatile and Accurate Monocular SLAM System, IEEE Trans. Robot., Vol. 31, No. 5, pp. 1147-1163
26
Rublee E., Rabaud V., Konolige K., Bradski G., 2011, ORB: An efficient alternative to SIFT or SURF, in Proceedings of the IEEE International Conference on Computer Vision, pp. 2564-2571
27
Lowe D. G., Nov. 2004, Distinctive image features from scale-invariant keypoints, Int. J. Comput. Vis., Vol. 60, No. 2, pp. 91-110
28
Sturm J., Engelhard N., Endres F., Burgard W., Cremers D., 2012, A benchmark for the evaluation of RGB-D SLAM systems, IEEE Int. Conf. Intell. Robot. Syst., pp. 573-580
29
Ji P., 2016, StereoScan : Dense 3D Reconstruction in real-time, Ieeexplore.Ieee.Org, pp. 1-9
30
Solin A., Cortés S., Rahtu E., Kannala J., 2018, PIVO: Probabilistic inertial-visual odometry for occlusion- robust navigation, Proc. - 2018 IEEE Winter Conf. Appl. Comput. Vision, WACV 2018, Vol. 2018-Janua, pp. 616-625
31
Mur-Artal R., Tardos J. D., Apr. 2016, Visual-Inertial Monocular SLAM with Map Reuse, IEEE Robot. Autom. Lett., Vol. 2, No. 2, pp. 796-803
32
Pire T., Fischer T., Civera J., De Cristoforis P., Berlles J. J., 2015, Stereo parallel tracking and mapping for robot localization, in IEEE International Conference on Intelligent Robots and Systems, Vol. 2015-Decem, pp. 1373-1378
33
Krombach N., Droeschel D., Behnke S., 2017, Combining feature-based and direct methods for semi-dense real-time stereo visual odometry, Adv. Intell. Syst. Comput., Vol. 531, No. July, pp. 855-868