John Josiah Steckenrider

According to our database, John Josiah Steckenrider authored at least 15 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

Walking Trajectory Estimation Using Multi-Sensor Fusion and a Probabilistic Step Model.

Ethan Rabb, John Josiah Steckenrider

Sensors, July, 2023

A Comparison Of Lissajous Curves To Traditional Patterns In Aerial Search Simulations.

Mitchell J. Miller, Victor E. Trujillo, James Bluman, John Josiah Steckenrider

Proceedings of the Winter Simulation Conference, 2023

2022

Adaptive Aerial Localization Using Lissajous Search Patterns.

John Josiah Steckenrider

IEEE Trans. Robotics, 2022

2021

Simultaneous estimation and modeling of nonlinear, non-Gaussian state-space systems.

John Josiah Steckenrider, Tomonari Furukawa

Inf. Sci., 2021

Probabilistic observation model correction using non-Gaussian belief fusion.

John Josiah Steckenrider, Tomonari Furukawa

Inf. Fusion, 2021

State Estimation of a Partially Observable Multi-Link System with No Joint Encoders Incorporating External Dead-Reckoning.

Tomonari Furukawa, John Josiah Steckenrider, Gamini Dissanayake

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Simultaneous Estimation and Modeling of Robotic Systems with Non-Gaussian State Belief.

John Josiah Steckenrider

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

GPS and IMU Fusion for Human Gait Estimation.

John Josiah Steckenrider, Brock Crawford, Penny Zheng

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020

Multi-dimensional belief fusion of multi-Gaussian structures.

John Josiah Steckenrider, Tomonari Furukawa

Inf. Fusion, 2020

Cooperative Aerial Search and Localization Using Lissajous Patterns.

John Josiah Steckenrider, Spencer Leamy, Tomonari Furukawa

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2020

A Generalized Bayesian Approach for Localizing Static Natural Obstacles on Unpaved Roads.

Yoshito Kinoshita, John Josiah Steckenrider, Ioannis Papakis, Tomonari Furukawa

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2020

2019

Recursive Bayesian Classification for Perception of Evolving Targets using a Gaussian Toroid Prediction Model.

John Josiah Steckenrider, Tomonari Furukawa

Proceedings of the International Conference on Robotics and Automation, 2019

Continuum Detection and Predictive-Corrective Classification of Crack Networks.

John Josiah Steckenrider, Tomonari Furukawa

Proceedings of the 22th International Conference on Information Fusion, 2019

A Probabilistic Superpixel-Based Method for Road Crack Network Detection.

John Josiah Steckenrider, Tomonari Furukawa

Proceedings of the Advances in Computer Vision, 2019

2017

Detection and classification of stochastic features using a multi-Bayesian approach.

John Josiah Steckenrider, Tomonari Furukawa

Proceedings of the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2017