Low to High Dimensional Modality Reconstruction Using Aggregated Fields of View
abstract: Autonomous systems that are out in the real world today deal with a slew of different data modalities to perform effectively in tasks ranging from robot navigation in complex maneuverable robots to identity verification in simpler static systems. The performance of the system heavily banks...
Other Authors: | Gunasekar, Kausic (Author) |
---|---|
Format: | Dissertation |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | http://hdl.handle.net/2286/R.I.54924 |
Similar Items
-
Multi-modal RGB-D Image Segmentation from Appearance and Geometric Depth Maps
by: Isail Salazar, et al.
Published: (2020-05-01) -
Adaptive cross-fusion learning for multi-modal gesture recognition
by: Benjia Zhou, et al.
Published: (2021-06-01) -
Bio-Inspired Modality Fusion for Active Speaker Detection
by: Gustavo Assunção, et al.
Published: (2021-04-01) -
The Structure and Measurement of Unusual Sensory Experiences in Different Modalities: The Multi-Modality Unusual Sensory Experiences Questionnaire (MUSEQ)
by: Claire A. A. Mitchell, et al.
Published: (2017-08-01) -
On Robustness of Multi-Modal Fusion—Robotics Perspective
by: Michal Bednarek, et al.
Published: (2020-07-01)