High Fidelity Sensor Simulations for the Virtual Autonomous Navigation Environment. - Christopher Goodin; Phillip J. Durst; Burhman Q. Gates; Christopher L. Cummins; Jody D. Priddy (SIMPAR, 2010)

The Need for High-Fidelity Robotics Sensor Models. - Phillip J. Durst; Christopher Goodin; Burhman Q. Gates; Christopher L. Cummins; Burney McKinley; Jody D. Priddy; Peter Rander; Brett Browning (J. Robotics, 2011)

A reference autonomous mobility model. - Phillip J. Durst; Christopher T. Goodin; Derek T. Anderson; Cindy L. Bethel (WSC, 2017)

HPCMP CREATE-GV: Supporting Ground Vehicle Acquisition. - Larry N. Lynch; Christopher Goodin; Kevin Walker; Jody D. Priddy; Michael Puhr (Comput. Sci. Eng., 2017)

A Perception-Based Fuzzy Route Planing Algorithm for Autonomous Unmanned Ground Vehicles. - Phillip J. Durst; Christopher T. Goodin; Cindy L. Bethel; Derek T. Anderson; Daniel W. Carruth; Hyeona Lim (Unmanned Syst., 2018)

Using VR Generated Pedestrian Behaviors in Autonomous Vehicle Simulations. - Christopher R. Hudson; Shuchisnigdha Deb; Christopher Goodin; Daniel W. Carruth (AHFE (7), 2020)

Shape Estimation of Negative Obstacles for Autonomous Navigation. - Viswadeep Lebakula; Bo Tang 011; Christopher Goodin; Cindy L. Bethel (IROS, 2021)

An Analytic Model for Negative Obstacle Detection with Lidar and Numerical Validation Using Physics-Based Simulation. - Christopher Goodin; Justin Carrillo; J. Gabriel Monroe; Daniel W. Carruth; Christopher R. Hudson (Sensors, 2021)

Engaging Students in an Automotive Autonomy Sensor Processing Class: Incorporating active learning and high-fidelity, physics-based autonomy simulation into class projects. - John E. Ball; Mahnas Jean Mohammadi-Aragh; Christopher Goodin (IEEE Signal Process. Mag., 2021)

CaT: CAVS Traversability Dataset for Off-Road Autonomous Driving. - Suvash Sharma; Lalitha Dabbiru; Tyler Hannis; George Mason; Daniel W. Carruth; Matthew Doude; Christopher Goodin; Christopher R. Hudson; Sam Ozier; John E. Ball; Bo Tang 011 (IEEE Access, 2022)

A novel framework for verification and validation of simulations of autonomous robots. - Phillip J. Durst; David P. McInnis; Jeremy Davis; Christopher T. Goodin (Simul. Model. Pract. Theory, 2022)

Analysis of LiDAR Configurations on Off-road Semantic Segmentation Performance. - Jinhee Yu; Jingdao Chen; Lalitha Dabbiru; Christopher T. Goodin (CoRR, 2023)

Enhancing Longitudinal Velocity Control With Attention Mechanism-Based Deep Deterministic Policy Gradient (DDPG) for Safety and Comfort. - Fahmida Islam; John E. Ball; Christopher T. Goodin (IEEE Access, 2024)

Optimizing Longitudinal Velocity Control via Self-Supervised Learning and Deep Deterministic Policy Gradient. - Fahmida Islam; M. M. Nabi; John E. Ball; Christopher T. Goodin (IEEE Access, 2024)

Geometric Fidelity Requirements for Meshes in Automotive Lidar Simulation. - Christopher Goodin; Marc N. Moore; Daniel W. Carruth; Zachary Aspin; John Kaniarz (Virtual Worlds, 2024)

Comparing real and simulated performance for an off-road autonomous ground vehicle in obstacle avoidance. - Daniel W. Carruth; Christopher Goodin; Lalitha Dabbiru; Nicklaus Scherrer; Marc N. Moore; Christopher H. Hudson; Lucas D. Cagle; Paramsothy Jayakumar (J. Field Robotics, 2024)

Multi-domain modeling of environment and ecosystem of virtual off-road scenes for simulating ground vehicle autonomy. - Christopher R. Hudson; Warren Wheeler; Christopher Goodin; Daniel W. Carruth; Nicholas Harvel; Joshua Ferguson; J. Gabriel Monroe; David P. McInnis (Simul., 2025)

CottonSim: Development of an autonomous visual-guided robotic cotton-picking system in the Gazebo. - Thevathayarajh Thayananthan; Xin Zhang; Yanbo Huang; Jingdao Chen; Nuwan Wijewardane; Vitor S. Martins; Gary D. Chesser; Christopher T. Goodin (CoRR, 2025)