Abstract
AbstractOptical measurement systems suffer from a fundamental tradeoff between the field of view (FOV), the resolution and the update rate. A compound eye has the advantages of a wide FOV, high update rate and high sensitivity to motion, providing inspiration for breaking through the constraint and realizing high-performance optical systems. However, most existing studies on artificial compound eyes are limited by complex structure and low resolution, and they focus on imaging instead of precise measurement. Here, a high-performance lensless compound eye microsystem is developed to realize target motion perception through precise and fast orientation measurement. The microsystem splices multiple sub-FOVs formed by long-focal subeyes, images targets distributed in a panoramic range into a single multiplexing image sensor, and codes the subeye aperture array for distinguishing the targets from different sub-FOVs. A wide-field and high resolution are simultaneously realized in a simple and easy-to-manufacture microelectromechanical system (MEMS) aperture array. Moreover, based on the electronic rolling shutter technique of the image sensor, a hyperframe update rate is achieved by the precise measurement of multiple time-shifted spots of one target. The microsystem achieves an orientation measurement accuracy of 0.0023° (3σ) in the x direction and 0.0028° (3σ) in the y direction in a cone FOV of 120° with an update rate ~20 times higher than the frame rate. This study provides a promising approach for achieving optical measurements with comprehensive high performance and may have great significance in various applications, such as vision-controlled directional navigation and high-dynamic target tracking, formation and obstacle avoidance of unmanned aerial vehicles.
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Condensed Matter Physics,Materials Science (miscellaneous),Atomic and Molecular Physics, and Optics
Reference41 articles.
1. Franceschini, N., Pichon, J. M., Blanes, C., Brady, J. M. & Franceschini, N. FROM INSECT VISION TO ROBOT VISION. Philos. Trans. R. Soc. B-Biol. Sci. 337, 283–294 (1992).
2. Dario, F. et al . Flying Insects and Robots. (Springer-Verlag Berlin, 2009).
3. Srinivasan, M. V., Poteser, M. & Kral, K. Motion detection in insect orientation and navigation. Vis. Res 39, 2749–2766 (1999).
4. Odelga, M., Stegagno, P. & Bulthoff, H. H. In IEEE International Conference on Robotics and Automation (ICRA). 2984–2990 (Ieee, 2016).
5. Yan, C. X. & Zhan, Q. Real-time multiple mobile robots visual detection system. Sens. Rev. 31, 228–238 (2011).
Cited by
15 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献