BIT-VO: visual odometry at 300 FPS using binary features from the focal plane
File(s)IROS_2020 (4).pdf (5.5 MB)
Accepted version
Author(s)
Murai, Riku
Saeedi, Sajad
Kelly, Paul
Type
Conference Paper
Abstract
Focal-plane Sensor-processor (FPSP) is a next-generation camera technology which enables every pixel on the sensor chip to perform computation in parallel, on the focal plane where the light intensity is captured. SCAMP-5 is a general-purpose FPSP used in this work and it carries out computations in the analog domain before analog to digital conversion. By extracting features from the image on the focal plane, data which is digitised and transferred is reduced. As a consequence, SCAMP-5 offers a high frame rate while maintaining low energy consumption. Here, we present BITVO, which is the first 6-Degrees of Freedom visual odometry algorithm which utilises the FPSP. Our entire system operates at 300 FPS in a natural environment, using binary edges and corner features detected by the SCAMP-5.
Date Issued
2021-02-10
Date Acceptance
2020-06-30
Citation
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021, pp.8579-8586
Publisher
IEEE
Start Page
8579
End Page
8586
Journal / Book Title
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
Copyright Statement
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Source
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
Subjects
cs.CV
cs.CV
Publication Status
Published
Start Date
2020-10-24
Finish Date
2021-01-24
Coverage Spatial
Las Vegas, NV, USA