Real-time indoor mapping by fusion of structured light sensors. - Arpan Kusari; Zhigang Pan; Craig L. Glennie (UPINLBS, 2014)

Change Detection From Differential Airborne LiDAR Using a Weighted Anisotropic Iterative Closest Point Algorithm. - Xiao Zhang; Craig L. Glennie; Arpan Kusari (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

CWAE-IRL: Formulating a supervised approach to Inverse Reinforcement Learning problem. - Arpan Kusari (CoRR, 2019)

Precise Registration of Laser Mapping Data by Planar Feature Extraction for Deformation Monitoring. - Arpan Kusari; Craig L. Glennie; Benjamin A. Brooks; Todd Ericksen (IEEE Trans. Geosci. Remote. Sens., 2019)

Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning. - Arpan Kusari; Jonathan P. How (ICRA, 2020)

Assessing and Accelerating Coverage in Deep Reinforcement Learning. - Arpan Kusari (CoRR, 2020)

A Novel Traffic Simulation Framework for Testing Autonomous Vehicles Using SUMO and CARLA. - Pei Li; Arpan Kusari; David J. LeBlanc (CoRR, 2021)

Enhancing SUMO simulator for simulation based testing and validation of autonomous vehicles. - Arpan Kusari; Pei Li; Hanzhi Yang; Nikhil Punshi; Mich Rasulis; Scott Bogard; David J. LeBlanc (IV, 2022)

Graph-theoretical approach to robust 3D normal extraction of LiDAR data. - Arpan Kusari; Wenbo Sun (CoRR, 2022)

Efficient Subgraph Isomorphism using Graph Topology. - Arpan Kusari; Wenbo Sun (CoRR, 2022)

Operational requirements for localization in autonomous vehicles. - Arpan Kusari; Satabdi Saha (CoRR, 2023)

Object level footprint uncertainty quantification in infrastructure based sensing. - Arpan Kusari; Asma Almutairi; Mark E. Gilbert; David J. LeBlanc (CoRR, 2023)

A Probabilistic Framework for Estimating the Risk of Pedestrian-Vehicle Conflicts at Intersections. - Pei Li; Huizhong Guo; Shan Bao; Arpan Kusari (IEEE Trans. Intell. Transp. Syst., 2023)

Demystifying Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making. - Hanxi Wan; Pei Li; Arpan Kusari (CoRR, 2024)

Generating camera failures as a class of physics-based adversarial examples. - Manav Prabhakar; Jwalandhar Girnar; Arpan Kusari (CoRR, 2024)

Quantifying Context Bias in Domain Adaptation for Object Detection. - Hojun Son; Arpan Kusari (CoRR, 2024)

Uncertainty-Aware Out-of-Distribution Detection with Gaussian Processes. - Yang Chen; Chih-Li Sung; Arpan Kusari; Xiaoyang Song; Wenbo Sun (CoRR, 2024)

Three-Dimensional Posture Estimation of Vehicle Occupants Using Depth and Infrared Images. - Anuj Tambwekar; Byoung-Keon Daniel Park; Arpan Kusari; Wenbo Sun (Sensors, 2024)

Car-STAGE: Automated framework for large-scale high-dimensional simulated time-series data generation based on user-defined criteria. - Asma Almutairi; David J. LeBlanc; Arpan Kusari (CoRR, 2025)

MatPredict: a dataset and benchmark for learning material properties of diverse indoor objects. - Yuzhen Chen; Hojun Son; Arpan Kusari (CoRR, 2025)

Mitigating Context Bias in Domain Adaptation for Object Detection using Mask Pooling. - Hojun Son; Asma Almutairi; Arpan Kusari (CoRR, 2025)

Uncertainty-aware efficient subgraph isomorphism using graph topology. - Arpan Kusari; Wenbo Sun (Pattern Recognit., 2026)