Devesh Upadhyay

Orcid: 0000-0002-3758-0585

According to our database1, Devesh Upadhyay authored at least 35 papers between 2004 and 2024.

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Bibliography

2024
Deep Koopman Learning using the Noisy Data.
CoRR, 2024

C3D: Cascade Control with Change Point Detection and Deep Koopman Learning for Autonomous Surface Vehicles.
CoRR, 2024

Inherent Diverse Redundant Safety Mechanisms for AI-based Software Elements in Automotive Applications.
CoRR, 2024

Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection.
CoRR, 2024

Efficient Motion Planning for Manipulators with Control Barrier Function-Induced Neural Controller.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Deep Koopman-Based Control of Quality Variation in Multistage Manufacturing Systems.
Proceedings of the American Control Conference, 2024

2023
Deep Bayesian-Assisted Keypoint Detection for Pose Estimation in Assembly Automation.
Sensors, July, 2023

Stochastic Deep Koopman Model for Quality Propagation Analysis in Multistage Manufacturing Systems.
CoRR, 2023

Targeted collapse regularized autoencoder for anomaly detection: black hole at the center.
CoRR, 2023

FIR-based Future Trajectory Prediction in Nighttime Autonomous Driving.
CoRR, 2023

A Novel Two-level Causal Inference Framework for On-road Vehicle Quality Issues Diagnosis.
CoRR, 2023

Model Monitoring and Robustness of In-Use Machine Learning Models: Quantifying Data Distribution Shifts Using Population Stability Index.
CoRR, 2023

Deer in the headlights: FIR-based Future Trajectory Prediction in Nighttime Autonomous Driving.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

Cross Modality Knowledge Distillation for Robust Pedestrian Detection in Low Light and Adverse Weather Conditions.
Proceedings of the IEEE International Conference on Acoustics, 2023

Using simulation to quantify the performance of automotive perception systems.
Proceedings of the Autonomous Vehicles and Machines 2023, 2023

Robust Multiview Multimodal Driver Monitoring System Using Masked Multi-Head Self-Attention.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
A Survey on Evaluation Metrics for Synthetic Material Micro-Structure Images from Generative Models.
CoRR, 2022

Real-Time Driver Monitoring Systems through Modality and View Analysis.
CoRR, 2022

Towards Accurate and Robust Classification in Continuously Transitioning Industrial Sprays with Mixup.
CoRR, 2022

Virtual Rings on Highways: Traffic Control by Connected Automated Vehicles.
CoRR, 2022

BTranspose: Bottleneck Transformers for Human Pose Estimation with Self-Supervised Pre-Training.
CoRR, 2022

Appearance-Based Gaze Estimation for Driver Monitoring.
Proceedings of The 1st Gaze Meets ML workshop, 2022

On-Board Traffic Prediction for Connected Vehicles: Implementation and Experiments on Highways.
Proceedings of the American Control Conference, 2022

2021
Stochastic Adversarial Koopman Model for Dynamical Systems.
CoRR, 2021

NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations.
CoRR, 2021

2020
Deep Adversarial Koopman Model for Reaction-Diffusion systems.
CoRR, 2020

Open and closed loop traffic control by connected automated vehicles.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Special issue on Internet of Things (IoT) for in-vehicle systems.
Eng. Appl. Artif. Intell., 2019

Lagrangian Models for Controlling Large-Scale Heterogeneous Traffic.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2017
Linear quadratic air-path control for diesel engines with regenerative and assisted turbocharger.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

A stochastic dynamic programming approach to selective catalytic reduction control.
Proceedings of the 2017 American Control Conference, 2017

2016
A physics-based control-oriented model for compressor mass flow rate.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Physics-based turbine power models for a Variable Geometry Turbocharger.
Proceedings of the 2016 American Control Conference, 2016

2010
Control Design of Electrically Assisted Boosting Systems for Diesel Powertrain Applications.
IEEE Trans. Control. Syst. Technol., 2010

2004
Modeling, identification and state estimation of diesel engine torque and NOx dynamics in response to fuel quantity and timing excitations.
Proceedings of the 2004 American Control Conference, 2004


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