Publications

Chen, Y., Kusari, A., Sung, C., & Sun, W. (2023). Out-of-distribution learning with gaussian process boundaries. [Under preparation, to be submitted to Transactions of Machine Learning Research]

Kusari, A., & Sun, W. (2024). Uncertainty-aware efficient subgraph isomorphism using graph topology. [paper, Under review at ISPRS Journal of Photogrammetry and Remote Sensing]

Wan, H., Li, P., & Kusari, A. (2023). Demystifying Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making [Submitted to IEEE Transactions on Intelligent Vehicles]

Kusari, A., Gilbert, M., Almutairi, A., & LeBlanc, D. (2024). Object level footprint uncertainty quantification in infrastructure based sensing. IEEE Sensors. [paper]

Kusari, A. (2023). State of Modeling and Simulation in Autonomous Vehicles. In Sethi, I. K. (Ed.), Autonomous Vehicles and Systems: A Technological and Societal Perspective. River Publishers. [link]

Kusari, A., & Saha, S. (2023). Operational requirements for localization in autonomous vehicles. IROS 2023 Closing the loop on localization workshop (Oral presentation). [paper]

Ammar, D., Li, M., Yu, B., Lin, B., Kusari, A., Pulver, E., & Bao, S. (2022). Driving style classification and driver effectiveness: differences between teen and adult drivers. Transportation Research Record. [paper].

Li, P., Guo, H., Bao, S., & Kusari, A. (2023). A Probabilistic Framework for Estimating the Risk of Pedestrian-Vehicle Conflicts at Intersections. IEEE Transactions on Intelligent Transportation Systems [paper]

Kusari, A., & Sun, W. (2022). Graph-theoretical approach to robust 3D normal extraction of LiDAR data. International Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. V-2-2022,  (2022): 127-134.  [paper]

Li, P., Kusari, A., & LeBlanc, D. J. (2021). A Novel Traffic Simulation Framework for Testing Autonomous Vehicles Using SUMO and CARLA. SAE World Congress 2022. arXiv preprint arXiv:2110.07111. [paper]

Kusari, A., Li, P., Yang, H., Punshi, N., Rasulis, M., Bogard, S., & LeBlanc, D. J. (2022). Enhancing SUMO simulator for simulation based testing and validation of autonomous vehicles. IEEE Intelligent Vehicles Symposium 2022. [paper]

Kusari, A., & How, J.P. (2020). Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning. 2020 IEEE International Conference on Robotics and Automation (ICRA), 7484-7490. [paper]

Kusari, A. (2019). Registration using probabilistic planar matching with application in indoor mapping. American Society for Photogrammetry and Remote Sensing (ASPRS) Conference 2019. [paper]

Kusari, A., Glennie, C.L., Brooks, B.A. & Ericksen, T.L. (2018). Precise Registration of Laser Mapping Data by Planar Feature Extraction for Deformation Monitoring. IEEE Transactions on Geoscience and Remote Sensing 57 (6), 3404-3422. [paper]

Glennie,C.L., Kusari, A., & Facchin, A. (2016). Calibration and stability analysis of the vlp-16 laser scanner. ISPRS Archives, 3, W4. [paper]

Zhang, X., Glennie, C., & Kusari, A. (2015). Change detection from differential airborne LiDAR using a weighted anisotropic iterative closest point algorithm. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8(7), 3338-3346. [paper]

Glennie, C. L., Hinojosa‐Corona, A., Nissen, E., Kusari, A., Oskin, M. E., Arrowsmith, J. R., & Borsa, A. (2014). Optimization of legacy LiDAR data sets for measuring near‐field earthquake displacements. Geophysical Research Letters, 41(10), 3494-3501. [paper]

Kusari, A., Pan, Z., & Glennie, C. (2014, November). Real-time indoor mapping by fusion of structured light sensors. In Ubiquitous Positioning Indoor Navigation and Location Based Service (UPINLBS), 2014 (pp. 213-219). IEEE. [paper]