Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference. - Aishwarya Unnikrishnan; Joseph Wilson; Lu Gan 006; Andrew Capodieci; Paramsothy Jayakumar; Kira Barton; Maani Ghaffari (CoRR, 2021)

Dynamic Semantic Occupancy Mapping Using 3D Scene Flow and Closed-Form Bayesian Inference. - Aishwarya Unnikrishnan; Joey Wilson; Lu Gan 006; Andrew Capodieci; Paramsothy Jayakumar; Kira Barton; Maani Ghaffari (IEEE Access, 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)

Convolutional Bayesian Kernel Inference for 3D Semantic Mapping. - Joey Wilson; Yuewei Fu; Arthur Zhang; Jingyu Song; Andrew Capodieci; Paramsothy Jayakumar; Kira Barton; Maani Ghaffari (ICRA, 2023)

Brain Inspired Probabilistic Occupancy Grid Mapping with Hyperdimensional Computing. - Shay Snyder; Andrew Capodieci; David J. Gorsich; Maryam Parsa (CoRR, 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)

Generalizable Reinforcement Learning with Biologically Inspired Hyperdimensional Occupancy Grid Maps for Exploration and Goal-Directed Path Planning. - Shay Snyder; Ryan Shea; Andrew Capodieci; David J. Gorsich; Maryam Parsa (CoRR, 2025)