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03/30/2023
BOLT: An Automated Deep Learning Framework for Training and Deploying Large-Scale Neural Networks on Commodity CPU Hardware
Efficient large-scale neural network training and inference on commodity...
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11/22/2022
A Deep Reinforcement Learning Approach to Rare Event Estimation
An important step in the design of autonomous systems is to evaluate the...
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10/18/2021
Improving GNSS Positioning using Neural Network-based Corrections
Deep Neural Networks (DNNs) are a promising tool for Global Navigation S...
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01/16/2021
A New Particle Filter Framework for Bayesian Receiver Autonomous Integrity Monitoring in Urban Environments
Existing urban navigation algorithms employ integrity monitoring (IM) to...
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01/16/2021
Data-Driven Protection Levels for Camera and 3D Map-based Safe Urban Localization
Reliably assessing the error in an estimated vehicle position is integra...
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01/15/2021
A Particle Filtering Framework for Integrity Risk of GNSS-Camera Sensor Fusion
Adopting a joint approach towards state estimation and integrity monitor...
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01/25/2020
On the Role of Receptive Field in Unsupervised Sim-to-Real Image Translation
Generative Adversarial Networks (GANs) are now widely used for photo-rea...
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11/10/2017