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20182022
most citedConstrained Feedforward Neural Network Training via Reachability Analysis

5 citations · 15 across the 11 of their papers we have counts for

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10 papers · 1 filter

cs.RO20222 cited

PlaneSLAM: Plane-based LiDAR SLAM for Motion Planning in Structured 3D Environments

Adam Dai, Greg Lund, Grace Gao

LiDAR sensors are a powerful tool for robot simultaneous localization and mapping (SLAM) in unknown environments, but the raw point clouds they produce are dense, computationally e…

cs.RO20221 cited

Set-Valued Shadow Matching Using Zonotopes for 3-D Map-Aided GNSS Localization

Sriramya Bhamidipati, Shreyas Kousik, Grace Gao

Unlike many urban localization methods that return point-valued estimates, a set-valued representation enables robustness by ensuring that a continuum of possible positions obeys s…

cs.RO20221 cited

A Case Study Analysis for Designing a Lunar Navigation Satellite System with Time-Transfer from Earth-GPS

Sriramya Bhamidipati, Tara Mina, Grace Gao

Recently, there has been a growing interest in the use of a SmallSat platform for the future Lunar Navigation Satellite System (LNSS) to allow for cost-effectiveness and rapid depl…

cs.RO20214 cited

A Particle Filtering Framework for Integrity Risk of GNSS-Camera Sensor Fusion

Adyasha Mohanty, Shubh Gupta, Grace Xingxin Gao

Adopting a joint approach towards state estimation and integrity monitoring results in unbiased integrity monitoring unlike traditional approaches. So far, a joint approach was use…

cs.RO2021

Robust GPS-Vision Localization via Integrity-Driven Landmark Attention

Sriramya Bhamidipati, Grace Xingxin Gao

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 h…

cs.RO2021

Reliable GNSS Localization Against Multiple Faults Using a Particle Filter Framework

Shubh Gupta, Grace X. Gao

For reliable operation on urban roads, navigation using the Global Navigation Satellite System (GNSS) requires both accurately estimating the positioning detail from GNSS pseudoran…