Abstract
A Review of Bioinspired Vision Sensors and Their Applications
Highlights
Charge-coupled devices (CCDs)(1,2) or complementary metal-oxide silicon (CMOS)(3,4) image sensors along with digital signal processing units that execute computer vision algorithms have been used for realizing conventional vision systems such as those for object tracking, object recognition, 3D reconstruction, simultaneous localization and mapping (SLAM), and navigation
We review bioinspired vision sensors and their applications in the computer vision and robotics fields
2.4 dynamic and active pixel vision sensors (DAVISs) Very recently, a DAVIS has been proposed as another version of a combined biological “where” and “what” system.[17,18] The DAVIS combines the advantages of dynamic vision sensors (DVSs) and active pixel sensors (APSs) at the pixel level
Summary
Bioinspired vision sensors have become very attractive in recent years because of their inherent redundancy suppression, integrated processing, fast sensing capability, wide dynamic range, and low power consumption. These sensors combine functionalities of the biological “where” and “what” systems of the human visual system and process the visual information using an asynchronous event-driven method. Since the emergence of bioinspired vision sensors, various applications based on them have been proposed in the computer vision and robotics fields. The reviewed applications based on the bioinspired vision sensors include visual tracking, detection, recognition, simultaneous localization and mapping (SLAM), reconstruction, stereo matching, and control
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
