Robust Optical Spatial Localization Using a Single Image Sensor

A novel 3-D spatial localization method using a single camera with temporal-difference image processing is proposed. The proposed active localization method uses a ring of light-emitting diodes embedded on the target. The diameter and the central location of the ring's image on the image sensor are used to estimate the target location using a Volterra series expansion of the target coordinates. No knowledge of the camera hardware parameters is needed. Instead, Volterra series parameters are obtained through a prior training that needs to be performed only once. The proposed method can be implemented with low computational complexity and storage. The performance of the proposed method is compared against an earlier method that relies on prior knowledge of the camera hardware parameters. The proposed method demonstrates excellent performance even when the target is located far away from the axial direction of the camera lens. The proposed method can be applied in low-power outdoor unmanned aerial vehicle localization and indoor robotic navigation.

[1]  Yazhe Tang,et al.  Vision-Aided Multi-UAV Autonomous Flocking in GPS-Denied Environment , 2019, IEEE Transactions on Industrial Electronics.

[2]  Sang-Kook Han,et al.  Three-Dimensional Visible Light Indoor Localization Using AOA and RSS With Multiple Optical Receivers , 2014, Journal of Lightwave Technology.

[3]  Dominic C. O'Brien,et al.  RF/FSO Wireless Sensor Networks: A Performance Study , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[4]  Shoushun Chen,et al.  A 64 $\times$ 64 Pixels UWB Wireless Temporal-Difference Digital Image Sensor , 2012, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[5]  Nian Zhang,et al.  Landmark-based localization for Unmanned Aerial Vehicles , 2013, 2013 IEEE International Systems Conference (SysCon).

[6]  J.F. Holzman,et al.  Differential Retro-Detection for Remote Sensing Applications , 2010, IEEE Sensors Journal.

[7]  H. Harry Asada,et al.  An optical external localization system and applications to indoor tracking , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[8]  Igor Paprotny,et al.  Review and Comparison of Spatial Localization Methods for Low-Power Wireless Sensor Networks , 2015, IEEE Sensors Journal.

[9]  Shoushun Chen,et al.  A 64×64 pixels UWB wireless temporal-difference digital image sensor , 2010, ISCAS.

[10]  Davide Scaramuzza,et al.  A monocular pose estimation system based on infrared LEDs , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

[11]  Fei Wang,et al.  A Robust Real-Time Vision System for Autonomous Cargo Transfer by an Unmanned Helicopter , 2015, IEEE Transactions on Industrial Electronics.

[12]  Deva K. Borah,et al.  An Optical Spatial Localization Algorithm Using Single Temporal Difference Image Sensor , 2019, IEEE Sensors Letters.

[13]  R. Klukas,et al.  Indoor positioning through integration of optical angles of arrival with an inertial measurement unit , 2012, Proceedings of the 2012 IEEE/ION Position, Location and Navigation Symposium.

[14]  G. Gerhart,et al.  Stereo vision and laser odometry for autonomous helicopters in GPS-denied indoor environments , 2009 .

[15]  Roman Barták,et al.  Camera-Based Localization and Stabilization of a Flying Drone , 2015, FLAIRS Conference.

[16]  Shoushun Chen,et al.  Object Localization and Size Measurement Using Networked Address Event Representation Imagers , 2016, IEEE Sensors Journal.

[17]  Matteo Perenzoni,et al.  A 134-Pixel CMOS Sensor for Combined Time-of-Flight and Optical Triangulation 3-D Imaging , 2009, IEEE Journal of Solid-State Circuits.

[18]  Kyung-Joon Park,et al.  Analysis of localization for drone-fleet , 2015, 2015 International Conference on Information and Communication Technology Convergence (ICTC).