Andrew Capodieci

According to our database, Andrew Capodieci authored at least 6 papers between 2021 and 2024.

Collaborative distances:

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

2024

ConvBKI: Real-Time Probabilistic Semantic Mapping Network With Quantifiable Uncertainty.

Joey Wilson, Yuewei Fu, Joshua Friesen, Parker Ewen, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari

IEEE Trans. Robotics, 2024

Brain Inspired Probabilistic Occupancy Grid Mapping with Hyperdimensional Computing.

Shay Snyder, Andrew Capodieci, David J. Gorsich, Maryam Parsa

CoRR, 2024

2023

Convolutional Bayesian Kernel Inference for 3D Semantic Mapping.

Joey Wilson, Yuewei Fu, Arthur Zhang, Jingyu Song, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments.

Joey Wilson, Jingyu Song, Yuewei Fu, Arthur Zhang, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari

IEEE Robotics Autom. Lett., 2022

Dynamic Semantic Occupancy Mapping Using 3D Scene Flow and Closed-Form Bayesian Inference.

Aishwarya Unnikrishnan, Joey Wilson, Lu Gan, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari

IEEE Access, 2022

2021

Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference.

Aishwarya Unnikrishnan, Joseph Wilson, Lu Gan, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari

CoRR, 2021