Attention and anticipation in fast visual-inertial navigation
Visual attention is the cognitive process that allows humans to parse a large amount of sensory data by selecting relevant information and filtering out irrelevant stimuli. This papers develops a computational approach for visual attention in robots. We consider a Visual-Inertial Navigation (VIN) pr...
Main Authors: | Carlone, Luca (Contributor), Karaman, Sertac (Contributor) |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor) |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2018-04-13T22:39:06Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Attention and Anticipation in Fast Visual-Inertial Navigation
by: Carlone, Luca, et al.
Published: (2020) -
Navion: A Fully Integrated Energy-Efficient Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones
by: Suleiman, Amr AbdulZahir, et al.
Published: (2018) -
Navion: A 2-mW Fully Integrated Real-Time Visual-Inertial Odometry Accelerator for Autonomous Navigation of Nano Drones
by: Suleiman, Amr, et al.
Published: (2021) -
Visual-Inertial Odometry on Chip: An Algorithm-and-Hardware Co-design Approach
by: Zhang, Zhengdong, et al.
Published: (2017) -
Towards consistent visual-inertial navigation
by: Kaess, Michael, et al.
Published: (2017)