activity
20132026
most citedA Simple Hierarchical Pooling Data Structure for Loop Closure

2 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

cs.HC2026

Passthrough Rigidity: The Behavioral and Visuomotor Costs of Mediated Perception

Markus D. Solbach, Mohit Goyal, Sakar Khattar +4

Broad public adoption of head-mounted displays using video passthrough remains elusive despite significant market investment. A precise understanding of why users experience persis…

cs.HC2025

Geometry Aware Passthrough Mitigates Cybersickness

Trishia El Chemaly, Mohit Goyal, Tinglin Duan +8

Virtual Reality headsets isolate users from the real-world by restricting their perception to the virtual-world. Video See-Through (VST) headsets address this by utilizing world-fa…

cs.RO2022★ 1 cited

Learned Monocular Depth Priors in Visual-Inertial Initialization

Yunwen Zhou, Abhishek Kar, Eric Turner +4

Visual-inertial odometry (VIO) is the pose estimation backbone for most AR/VR and autonomous robotic systems today, in both academia and industry. However, these systems are highly…

cs.CV2015★ 2 cited

A Simple Hierarchical Pooling Data Structure for Loop Closure

Xiaohan Fei, Konstantine Tsotsos, Stefano Soatto

We propose a data structure obtained by hierarchically averaging bag-of-word descriptors during a sequence of views that achieves average speedups in large-scale loop closure appli…

cs.RO2014

Robust Inference for Visual-Inertial Sensor Fusion

Konstantine Tsotsos, Alessandro Chiuso, Stefano Soatto

Inference of three-dimensional motion from the fusion of inertial and visual sensory data has to contend with the preponderance of outliers in the latter. Robust filtering deals wi…

cs.RO2013★ 1 cited

Observability, Identifiability and Sensitivity of Vision-Aided Navigation

Joshua Hernandez, Konstantine Tsotsos, Stefano Soatto

We analyze the observability of motion estimates from the fusion of visual and inertial sensors. Because the model contains unknown parameters, such as sensor biases, the problem i…