Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Gao, Grace Xingxin"'
Publikováno v:
Proceedings of the 33rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2020)
Adopting a joint approach towards state estimation and integrity monitoring results in unbiased integrity monitoring unlike traditional approaches. So far, a joint approach was used in Particle RAIM [l] for GNSS measurements only. In our work, we ext
Externí odkaz:
http://arxiv.org/abs/2101.06044
To address PMU vulnerability against spoofing, we propose a set-valued state estimation technique known as Stochastic Reachability-based Distributed Kalman Filter (SR-DKF) that computes secure GPS timing across a network of receivers. Utilizing stoch
Externí odkaz:
http://arxiv.org/abs/2101.04835
For robust GPS-vision navigation in urban areas, we propose an Integrity-driven Landmark Attention (ILA) technique via stochastic reachability. Inspired by cognitive attention in humans, we perform convex optimization to select a subset of landmarks
Externí odkaz:
http://arxiv.org/abs/2101.04836
Autor:
Mina, Tara Yasmin, Gao, Grace Xingxin
With the birth of the next-generation GPS III constellation and the upcoming launch of the Navigation Technology Satellite-3 (NTS-3) testing platform to explore future technologies for GPS, we are indeed entering a new era of satellite navigation. Co
Externí odkaz:
http://arxiv.org/abs/2101.02850
Autor:
Shetty, Akshay, Gao, Grace Xingxin
Trajectory planning under uncertainty is an active research topic. Previous works predict state and state estimation uncertainties along trajectories to check for collision safety. They assume either stochastic or bounded sensing uncertainties. Howev
Externí odkaz:
http://arxiv.org/abs/2012.09689
Inter-robot communication enables multi-robot systems to coordinate and execute complex missions efficiently. Thus, maintaining connectivity of the communication network between robots is essential for many multi-robot systems. In this paper, we pres
Externí odkaz:
http://arxiv.org/abs/2012.09808
Urban navigation using GPS and fish-eye camera suffers from multipath effects in GPS measurements and data association errors in pixel intensities across image frames. We propose a Simultaneous Localization and Mapping (SLAM)-based Integrity Monitori
Externí odkaz:
http://arxiv.org/abs/1910.02165
Autor:
Shetty, Akshay, Gao, Grace Xingxin
We propose an image-based cross-view geolocalization method that estimates the global pose of a UAV with the aid of georeferenced satellite imagery. Our method consists of two Siamese neural networks that extract relevant features despite large diffe
Externí odkaz:
http://arxiv.org/abs/1809.05979
Autor:
Gao, Grace Xingxin.
Publikováno v:
May be available electronically.
Thesis (Ph. D.)--Stanford University, 2008.
Submitted to the Department of Electrical Engineering. Copyright by the author.
Submitted to the Department of Electrical Engineering. Copyright by the author.
Accuracy of Range-Based Cooperative Localization in Wireless Sensor Networks: A Lower Bound Analysis
Autor:
Heng, Liang, Gao, Grace Xingxin
Accurate location information is essential for many wireless sensor network (WSN) applications. A location-aware WSN generally includes two types of nodes: sensors whose locations to be determined and anchors whose locations are known a priori. For r
Externí odkaz:
http://arxiv.org/abs/1305.7272