1 citations · 1 across the 4 of their papers we have counts for
5 papers
PC-SRIF: Preconditioned Cholesky-based Square Root Information Filter for Vision-aided Inertial Navigation
Tong Ke, Parth Agrawal, Yun Zhang +4
In this paper, we introduce a novel estimator for vision-aided inertial navigation systems (VINS), the Preconditioned Cholesky-based Square Root Information Filter (PC-SRIF). When…
RISE-SLAM: A Resource-aware Inverse Schmidt Estimator for SLAM
Tong Ke, Kejian J. Wu, Stergios I. Roumeliotis
In this paper, we present the RISE-SLAM algorithm for performing visual-inertial simultaneous localization and mapping (SLAM), while improving estimation consistency. Specifically,…
Deep Multi-view Depth Estimation with Predicted Uncertainty
Tong Ke, Tien Do, Khiem Vuong +2
In this paper, we address the problem of estimating dense depth from a sequence of images using deep neural networks. Specifically, we employ a dense-optical-flow network to comput…
Deep Depth Estimation from Visual-Inertial SLAM
Kourosh Sartipi, Tien Do, Tong Ke +2
This paper addresses the problem of learning to complete a scene's depth from sparse depth points and images of indoor scenes. Specifically, we study the case in which the sparse d…
An Efficient Algebraic Solution to the Perspective-Three-Point Problem
Tong Ke, Stergios Roumeliotis
In this work, we present an algebraic solution to the classical perspective-3-point (P3P) problem for determining the position and attitude of a camera from observations of three k…