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Arpan Kusari
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2020 – today
- 2024
- [j4]Anuj Tambwekar, Byoung-Keon Daniel Park, Arpan Kusari, Wenbo Sun:
Three-Dimensional Posture Estimation of Vehicle Occupants Using Depth and Infrared Images. Sensors 24(17): 5530 (2024) - [i13]Hanxi Wan, Pei Li, Arpan Kusari:
Demystifying Deep Reinforcement Learning-Based Autonomous Vehicle Decision-Making. CoRR abs/2403.11432 (2024) - [i12]Manav Prabhakar, Jwalandhar Girnar, Arpan Kusari:
Generating camera failures as a class of physics-based adversarial examples. CoRR abs/2405.15033 (2024) - [i11]Hojun Son, Arpan Kusari:
Quantifying Context Bias in Domain Adaptation for Object Detection. CoRR abs/2409.14679 (2024) - 2023
- [j3]Pei Li, Huizhong Guo, Shan Bao, Arpan Kusari:
A Probabilistic Framework for Estimating the Risk of Pedestrian-Vehicle Conflicts at Intersections. IEEE Trans. Intell. Transp. Syst. 24(12): 14111-14120 (2023) - [i10]Arpan Kusari, Satabdi Saha:
Operational requirements for localization in autonomous vehicles. CoRR abs/2308.12277 (2023) - [i9]Arpan Kusari, Asma Almutairi, Mark E. Gilbert, David J. LeBlanc:
Object level footprint uncertainty quantification in infrastructure based sensing. CoRR abs/2308.12846 (2023) - 2022
- [c3]Arpan Kusari, Pei Li, Hanzhi Yang, Nikhil Punshi, Mich Rasulis, Scott Bogard, David J. LeBlanc:
Enhancing SUMO simulator for simulation based testing and validation of autonomous vehicles. IV 2022: 829-835 - [i8]Arpan Kusari, Wenbo Sun:
Graph-theoretical approach to robust 3D normal extraction of LiDAR data. CoRR abs/2205.11460 (2022) - [i7]Pei Li, Huizhong Guo, Shan Bao, Arpan Kusari:
A Probabilistic Framework for Estimating the Risk of Pedestrian-Vehicle Conflicts at Intersections. CoRR abs/2207.14145 (2022) - [i6]Arpan Kusari, Wenbo Sun:
Efficient Subgraph Isomorphism using Graph Topology. CoRR abs/2209.09090 (2022) - 2021
- [i5]Arpan Kusari, Pei Li, Hanzhi Yang, Nikhil Punshi, Mich Rasulis, Scott Bogard, David J. LeBlanc:
Enhancing SUMO simulator for simulation based testing and validation of autonomous vehicles. CoRR abs/2109.11620 (2021) - [i4]Pei Li, Arpan Kusari, David J. LeBlanc:
A Novel Traffic Simulation Framework for Testing Autonomous Vehicles Using SUMO and CARLA. CoRR abs/2110.07111 (2021) - 2020
- [c2]Arpan Kusari, Jonathan P. How:
Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning. ICRA 2020: 7484-7490 - [i3]Arpan Kusari:
Assessing and Accelerating Coverage in Deep Reinforcement Learning. CoRR abs/2012.00724 (2020)
2010 – 2019
- 2019
- [j2]Arpan Kusari, Craig L. Glennie, Benjamin A. Brooks, Todd Ericksen:
Precise Registration of Laser Mapping Data by Planar Feature Extraction for Deformation Monitoring. IEEE Trans. Geosci. Remote. Sens. 57(6): 3404-3422 (2019) - [i2]Arpan Kusari, Jonathan P. How:
Predicting optimal value functions by interpolating reward functions in scalarized multi-objective reinforcement learning. CoRR abs/1909.05004 (2019) - [i1]Arpan Kusari:
CWAE-IRL: Formulating a supervised approach to Inverse Reinforcement Learning problem. CoRR abs/1910.00584 (2019) - 2015
- [j1]Xiao Zhang, Craig L. Glennie, Arpan Kusari:
Change Detection From Differential Airborne LiDAR Using a Weighted Anisotropic Iterative Closest Point Algorithm. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(7): 3338-3346 (2015) - 2014
- [c1]Arpan Kusari, Zhigang Pan, Craig L. Glennie:
Real-time indoor mapping by fusion of structured light sensors. UPINLBS 2014: 213-219
Coauthor Index
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