1 |
Besl, P.J., and McKay, N.D. (1992), A method for registration of 3-D shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 14, No. 2, pp. 239-256.
DOI
|
2 |
Biber, P. (2003), The Normal Distributions Transform: A new approach to laser scan matching, IEEE International Conference on Intelligent Robots and Systems, 27-31 October, Las Vegas, USA, Vol. 3, pp. 2743-2748.
|
3 |
Chen, Y., Chen, R., Chen, X., Chen, W., and Wang, Q. (2011), Wearable electromyography sensor based outdoorindoor seamless pedestrian navigation using motion recognition method, 2011 International Conference on Indoor Positioning and Indoor Navigation, IEEE, 21-23 September, Guimaraes, Portugal, pp. 1-9.
|
4 |
Choi, K.H. (2018), Multi-Sensor System Calibration for Lidar and Fish-eye Lens Camera Data Integration, Ph.D Dissertation, Seoul National University, Seoul, Korea, 174p.
|
5 |
Deilamsalehy, H., and Havens, T. C. (2017), Sensor fused three-dimensional localization using IMU, camera and LiDAR, 2016 IEEE Sensors, IEEE, 30 October-3 November, Orlando, USA, pp. 1-3.
|
6 |
Durrant-Whyte, H., and Bailey, T. (2006), Simultaneous localization and mapping: Part I, IEEE Robotics and Automation Magazine, IEEE, Vol. 13, No. 2, pp. 99-108.
DOI
|
7 |
Fan, L., Smethurst, J. A., Atkinson, P. M., and Powrie, W. (2015), Error in target-based georeferencing and registration in terrestrial laser scanning, Computers and Geosciences, Vol. 83, pp. 54-64.
DOI
|
8 |
Laguela, S., Dorado, I., Gesto, M., Arias, P., Gonzalez-Aguilera, D., and Lorenzo, H. (2018), Behavior analysis of novel wearable indoor mapping system based on 3d-slam, Sensors, Vol. 18, No. 3, pp. 1-16.
DOI
|
9 |
Magnusson, M., Nuchter, A., Lorken, C., Lilienthal, A. J., and Hertzberg, J. (2009), Evaluation of 3D registration reliability and speed-a comparison of ICP and NDT, IEEE International Conference on Robotics and Automation, IEEE, 12-17 May, Kobe, Japan, pp. 3907-3912.
|
10 |
Magnusson, M., Lilienthal, A., and Duckett, T. (2007), Scan registration for autonomous mining vehicles using 3D-NDT, Journal of Field Robotics, Vol. 24, Issue10, pp. 803-827.
DOI
|
11 |
Pang, S., Kent, D., Cai, X., Al-Qassab, H., Morris, D., and Radha, H. (2018), 3D scan registration based localization for autonomous vehicles-a comparison of NDT and ICP under realistic conditions, IEEE Vehicular Technology Conference, IEEE, 27-30 August, Chicago, USA, pp. 5-9.
|
12 |
Peterson, L. (2009), K-nearest neighbor, Scholarpedia, http://scholarpedia.org/article/K-nearest_neighbor/ (last date accessed: 14 September 2020).
|
13 |
Zhang, J., and Singh, S. (2014), LOAM: Lidar odometry and mapping in real-time, Robotics: Science and Systems, 13-15 July, Rome, Italy, Vol. 2, No. 9.
|
14 |
Schuhmacher, S., and Bohm, J. (2005), Georeferencing of terrestrial laserscanner data for applications in architectural modelling, 3D-ARCH 2005: Virtual Reconstruction and Visualization of Complex Architectures, 22-24 August, Mestre-Venice, Italy, Vol. XXXVI, pp. 7.
|
15 |
Vogel, S., Alkhatib, H., Bureick, J., Moftizadeh, R., and Neumann, I. (2019), Georeferencing of laser scanner-based kinematic multi-sensor systems in the context of iterated extended kalman filters using geometrical constraints, Sensors, Vol. 19, No. 10, pp. 2280.
DOI
|
16 |
Wen, C., Pan, S., Wang, C., and Li, J. (2016), An indoor backpack system for 2-D and 3-D mapping of building interiors, IEEE Geoscience and Remote Sensing Letters, Vol. 13, No. 7, pp. 992-996.
DOI
|
17 |
Zhang, J., and Singh, S. (2015), Visual-lidar odometry and mapping: low-drift, robust, and fast, IEEE International Conference on Robotics and Automation, IEEE, 26-30 May, Seattle, USA, pp. 2174-2181.
|