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ORCIDDavid J. Gorsich
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2020 – today
- 2024
[j14]Mohan S. R. Elapolu, Rahul Rai, David J. Gorsich, Denise M. Rizzo, Stephen Rapp, Matthew P. Castanier:
Blockchain technology for requirement traceability in systems engineering. Inf. Syst. 123: 102384 (2024)- [j13]Doruk Aksoy
, David J. Gorsich, Shravan K. Veerapaneni, Alex A. Gorodetsky:
An Incremental Tensor Train Decomposition Algorithm. SIAM J. Sci. Comput. 46(2): 1047- (2024) - [j12]Jianhua Yin, Lingxi Li, Zissimos P. Mourelatos, Yixuan Liu, David J. Gorsich, Amandeep Singh, Seth Tau, Zhen Hu:
Reliable Global Path Planning of Off-Road Autonomous Ground Vehicles Under Uncertain Terrain Conditions. IEEE Trans. Intell. Veh. 9(1): 1161-1174 (2024) - [j11]Brian Chen, Doruk Aksoy, David J. Gorsich, Shravan K. Veerapaneni, Alex A. Gorodetsky:
Low-Rank Tensor-Network Encodings for Video-to-Action Behavioral Cloning. Trans. Mach. Learn. Res. 2024 (2024) - [c7]Masood Ghasemi, Vladimir V. Vantsevich, Lee Moradi, David J. Gorsich, Michael Cole:
Mobility Control of an In-Wheel-Motor Electric Vehicle in Severe Off-Road Terrain Conditions. ACC 2024: 5016-5023 - [i5]Tanmay Vilas Samak, Chinmay Vilas Samak, Joey Binz, Jonathon M. Smereka, Mark J. Brudnak, David J. Gorsich, Feng Luo, Venkat Krovi:
Off-Road Autonomy Validation Using Scalable Digital Twin Simulations Within High-Performance Computing Clusters. CoRR abs/2405.04743 (2024) - [i4]Shay Snyder, Andrew Capodieci, David J. Gorsich, Maryam Parsa:
Brain Inspired Probabilistic Occupancy Grid Mapping with Hyperdimensional Computing. CoRR abs/2408.09066 (2024) - [i3]Amey A. Salvi, Pardha Sai Krishna Ala, Jonathon M. Smereka, Mark J. Brudnak, David J. Gorsich, Matthias J. Schmid, Venkat Krovi:
Online identification of skidding modes with interactive multiple model estimation. CoRR abs/2409.20554 (2024) - 2023
- [j10]Jianhua Yin, Zhen Hu, Zissimos P. Mourelatos, David J. Gorsich, Amandeep Singh, Seth Tau:
Efficient Reliability-Based Path Planning of Off-Road Autonomous Ground Vehicles Through the Coupling of Surrogate Modeling and RRT. IEEE Trans. Intell. Transp. Syst. 24(12): 15035-15050 (2023) - [c6]Ajinkya Joglekar, Sarang Sutavani, Chinmay Vilas Samak, Tanmay Vilas Samak, Krishna Chaitanya Kosaraju, Jonathon M. Smereka, David J. Gorsich, Umesh Vaidya, Venkat Krovi:
Data-Driven Modeling and Experimental Validation of Autonomous Vehicles Using Koopman Operator: Distribution A: Approved for Public Release; Distribution Unlimited. OPSEC # 7248. IROS 2023: 9442-9447 - 2022
- [j9]Yabin Zhang, David J. Gorsich, Paramsothy Jayakumar, Shravan K. Veerapaneni:
Continuous-variable optimization with neural network quantum states. Quantum Mach. Intell. 4(1): 1-8 (2022) - [j8]Chen Jiang, Zhen Hu, Zissimos P. Mourelatos, David J. Gorsich, Paramsothy Jayakumar, Yan Fu, Monica Majcher:
R2-RRT*: Reliability-Based Robust Mission Planning of Off-Road Autonomous Ground Vehicle Under Uncertain Terrain Environment. IEEE Trans Autom. Sci. Eng. 19(2): 1030-1046 (2022) - [c5]Masood Ghasemi, David J. Gorsich, Vladimir V. Vantsevich, Lee Moradi, Jesse Paldan, Michael Cole, Jill Goryca, Amandeep Singh:
Robust Control of an Off-Road Single-Wheel Module Using Sliding Mode Control and Fuzzy Logic Control. AIM 2022: 730-735 - [i2]Doruk Aksoy, David J. Gorsich, Shravan K. Veerapaneni, Alex A. Gorodetsky:
An Incremental Tensor Train Decomposition Algorithm. CoRR abs/2211.12487 (2022) - 2021
- [j7]Gary R. Marple, David J. Gorsich, Paramsothy Jayakumar, Shravan K. Veerapaneni:
An Active Learning Framework for Constructing High-Fidelity Mobility Maps. IEEE Trans. Veh. Technol. 70(10): 9803-9813 (2021) - [c4]Brian Chen, Siddhant Tandon, David J. Gorsich, Alex A. Gorodetsky, Shravan K. Veerapaneni:
Behavioral Cloning in Atari Games Using a Combined Variational Autoencoder and Predictor Model. CEC 2021: 2077-2084 - 2020
- [j6]Alparslan Emrah Bayrak, M. Mert Egilmez, Heng Kuang, Xingyu Li, Jong Min Park, Edward Lawrence Umpfenbach, Erik Anderson, David J. Gorsich, Jack Hu, Panos Y. Papalambros, Bogdan I. Epureanu:
A System-of-Systems Approach to the Strategic Feasibility of Modular Vehicle Fleets. IEEE Trans. Syst. Man Cybern. Syst. 50(7): 2716-2728 (2020) - [c3]Seth Tau, Sean Brennan, Karl Reichard, Jesse Pentzer, David J. Gorsich:
Increasing Efficiency of Grid Free Path Planning by Bounding the Search Region. ACC 2020: 150-155 - [i1]Gary R. Marple, David J. Gorsich, Paramsothy Jayakumar, Shravan K. Veerapaneni:
An Active Learning Framework for Constructing High-fidelity Mobility Maps. CoRR abs/2003.03517 (2020)
2010 – 2019
- 2011
- [c2]Jason B. Siegel, Xinfan Lin, Anna G. Stefanopoulou, David J. Gorsich:
Neutron imaging of lithium concentration in battery pouch cells. ACC 2011: 376-381
2000 – 2009
- 2006
- [j5]Sreenivas R. Sukumar, David L. Page, Andrei V. Gribok, Andreas F. Koschan, Mongi A. Abidi, David J. Gorsich, Grant R. Gerhart:
Robotic three-dimensional imaging system for under-vehicle inspection. J. Electronic Imaging 15(3): 033008 (2006) - [j4]Brad Grinstead, Andreas F. Koschan, Andrei V. Gribok, Mongi A. Abidi, David J. Gorsich:
Outlier rejection by oriented tracks to aid pose estimation from video. Pattern Recognit. Lett. 27(1): 37-48 (2006) - 2004
- [j3]Andreas F. Koschan, David L. Page, Jin-Choon Ng, Mongi A. Abidi, David J. Gorsich, Grant R. Gerhart:
SAFER under vehicle inspection through video mosaic building. Ind. Robot 31(5): 435-442 (2004) - [j2]David J. Gorsich, Marc G. Genton:
On the discretization of nonparametric isotropic covariogram estimators. Stat. Comput. 14(2): 99-108 (2004) - 2002
- [j1]Marc G. Genton, David J. Gorsich:
Nonparametric variogram and covariogram estimation with Fourier-Bessel matrices. Comput. Stat. Data Anal. 41(1): 47-57 (2002) - [c1]Yan Zhang, Joon Ki Paik, Andreas F. Koschan, Mongi A. Abidi, David J. Gorsich:
Simple and efficient algorithm for part decomposition of 3-D triangulated models based on curvature analysis. ICIP (3) 2002: 273-276
Coauthor Index
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