Paramsothy Jayakumar

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 34

Top Topics

Ground Vehicles

Top Venues

IEEE Trans. Veh. Technol.

Publications

Chen Li, Michael Cole, Paramsothy Jayakumar, Tulga Ersal
Modeling Human Steering Behavior in Haptic Shared Control of Autonomy-Enabled Unmanned Ground Vehicles. Hum. Factors 66 (4) (2024)
Daniel W. Carruth, Christopher Goodin, Lalitha Dabbiru, Nicklaus Scherrer, Marc N. Moore, Christopher H. Hudson, Lucas D. Cagle, Paramsothy Jayakumar
Comparing real and simulated performance for an off-road autonomous ground vehicle in obstacle avoidance. J. Field Robotics 41 (3) (2024)
Joey Wilson, Yuewei Fu, Joshua Friesen, Parker Ewen, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari
ConvBKI: Real-Time Probabilistic Semantic Mapping Network with Quantifiable Uncertainty. CoRR (2023)
Jordan Ewing, Thomas Oommen, Jobin Thomas, Anush Kasaragod, Richard Dobson, Colin N. Brooks, Paramsothy Jayakumar, Michael Cole, Tulga Ersal
Terrain Characterization via Machine vs. Deep Learning Using Remote Sensing. Sensors 23 (12) (2023)
Joey Wilson, Yuewei Fu, Arthur Zhang, Jingyu Song, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari
Convolutional Bayesian Kernel Inference for 3D Semantic Mapping. ICRA (2023)
Saibal De, Eduardo Corona, Paramsothy Jayakumar, Shravan K. Veerapaneni
Tensor-Train Compression of Discrete Element Method Simulation Data. CoRR (2022)
Aishwarya Unnikrishnan, Joey Wilson, Lu Gan, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari
Dynamic Semantic Occupancy Mapping Using 3D Scene Flow and Closed-Form Bayesian Inference. IEEE Access 10 (2022)
Joey Wilson, Jingyu Song, Yuewei Fu, Arthur Zhang, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari
MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments. IEEE Robotics Autom. Lett. 7 (3) (2022)
Yabin Zhang, David J. Gorsich, Paramsothy Jayakumar, Shravan K. Veerapaneni
Continuous-variable optimization with neural network quantum states. Quantum Mach. Intell. 4 (1) (2022)
Chen Li, Yue Tang, Yingshi Zheng, Paramsothy Jayakumar, Tulga Ersal
Modeling Human Steering Behavior in Teleoperation of Unmanned Ground Vehicles With Varying Speed. Hum. Factors 64 (3) (2022)
Joey Wilson, Jingyu Song, Yuewei Fu, Arthur Zhang, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari
MotionSC: Data Set and Network for Real-Time Semantic Mapping in Dynamic Environments. CoRR (2022)
Joey Wilson, Yuewei Fu, Arthur Zhang, Jingyu Song, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari
Convolutional Bayesian Kernel Inference for 3D Semantic Mapping. CoRR (2022)
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) (2022)
James Dallas, Michael P. Cole, Paramsothy Jayakumar, Tulga Ersal
Terrain Adaptive Trajectory Planning and Tracking on Deformable Terrains. IEEE Trans. Veh. Technol. 70 (11) (2021)
Jordan Ewing, Thomas Oommen, Paramsothy Jayakumar, Russell Alger
Characterizing Soil Stiffness Using Thermal Remote Sensing and Machine Learning. Remote. Sens. 13 (12) (2021)
Aishwarya Unnikrishnan, Joseph Wilson, Lu Gan, Andrew Capodieci, Paramsothy Jayakumar, Kira Barton, Maani Ghaffari
Dynamic Semantic Occupancy Mapping using 3D Scene Flow and Closed-Form Bayesian Inference. CoRR (2021)
Gary R. Marple, David J. Gorsich, Paramsothy Jayakumar, Shravan Veerapaneni
An Active Learning Framework for Constructing High-Fidelity Mobility Maps. IEEE Trans. Veh. Technol. 70 (10) (2021)
Huckleberry Febbo, Paramsothy Jayakumar, Jeffrey L. Stein, Tulga Ersal
NLOptControl: A modeling language for solving optimal control problems. CoRR (2020)
Yifan Weng, Ruikun Luo, Paramsothy Jayakumar, Mark J. Brudnak, Victor Paul, Vishnu R. Desaraju, Jeffrey L. Stein, X. Jessie Yang, Tulga Ersal
Design and Evaluation of a Workload-Adaptive Haptic Shared Control Framework for Semi-Autonomous Driving. ACC (2020)
Ruikun Luo, Yifan Weng, Yifan Wang, Paramsothy Jayakumar, Mark J. Brudnak, Victor Paul, Vishnu R. Desaraju, Jeffrey L. Stein, Tulga Ersal, X. Jessie Yang
A Workload Adaptive Haptic Shared Control Scheme for Semi-Autonomous Driving. CoRR (2020)
Gary R. Marple, David J. Gorsich, Paramsothy Jayakumar, Shravan Veerapaneni
An Active Learning Framework for Constructing High-fidelity Mobility Maps. CoRR (2020)
Yingshi Zheng, Mark J. Brudnak, Paramsothy Jayakumar, Jeffrey L. Stein, Tulga Ersal
Evaluation of a Predictor-Based Framework in High-Speed Teleoperated Military UGVs. IEEE Trans. Hum. Mach. Syst. 50 (6) (2020)
Jordan Ewing, Thomas Oommen, Paramsothy Jayakumar, Russell Alger
Utilizing Hyperspectral Remote Sensing for Soil Gradation. Remote. Sens. 12 (20) (2020)
Huckleberry Febbo, Paramsothy Jayakumar, Jeffrey L. Stein, Tulga Ersal
Real-time trajectory planning for automated vehicle safety and performance in dynamic environments. CoRR (2020)
James Dallas, Michael P. Cole, Paramsothy Jayakumar, Tulga Ersal
Neural network based terramechanics modeling and estimation for deformable terrains. CoRR (2020)
Amir H. Ghasemi, Paramsothy Jayakumar, R. Brent Gillespie
Shared control architectures for vehicle steering. Cogn. Technol. Work. 21 (4) (2019)
James Dallas, Kshitij Jain, Zheng Dong, Michael P. Cole, Paramsothy Jayakumar, Tulga Ersal
Online terrain estimation for autonomous vehicles on deformable terrains. CoRR (2019)
Saibal De, Eduardo Corona, Paramsothy Jayakumar, Shravan K. Veerapaneni
Scalable Solvers for Cone Complementarity Problems in Frictional Multibody Dynamics. HPEC (2019)
Hossein Mirinejad, Paramsothy Jayakumar, Tulga Ersal
Modeling Human Steering Behavior During Path Following in Teleoperation of Unmanned Ground Vehicles. Hum. Factors 60 (5) (2018)
Huckleberry Febbo, Jiechao Liu, Paramsothy Jayakumar, Jeffrey L. Stein, Tulga Ersal
Moving obstacle avoidance for large, high-speed autonomous ground vehicles. ACC (2017)
Jiechao Liu, Paramsothy Jayakumar, Jeffrey L. Stein, Tulga Ersal
A double-worst-case formulation for improving the robustness of an MPC-based obstacle avoidance algorithm to parametric uncertainty. ACC (2017)
Jiechao Liu, Paramsothy Jayakumar, Jeffrey L. Stein, Tulga Ersal
Combined Speed and Steering Control in High-Speed Autonomous Ground Vehicles for Obstacle Avoidance Using Model Predictive Control. IEEE Trans. Veh. Technol. 66 (10) (2017)
Ramón González, Paramsothy Jayakumar, Karl Iagnemma
Stochastic mobility prediction of ground vehicles over large spatial regions: a geostatistical approach. Auton. Robots 41 (2) (2017)
Amir H. Ghasemi, Mishel Johns, Benjamin Garber, Paul Boehm, Paramsothy Jayakumar, Wendy Ju, R. Brent Gillespie
Role Negotiation in a Haptic Shared Control Framework. AutomotiveUI (adjunct) (2016)
Xinyi Ge, Mark J. Brudnak, Paramsothy Jayakumar, Jeffrey L. Stein, Tulga Ersal
A model-free predictor framework for tele-operated vehicles. ACC (2015)