Integrated vehicle control via coordinated steering and wheel torque inputs. - Sean Brennan 001; Andrew G. Alleyne (ACC, 2001)

H-infinity vehicle control using nondimensional perturbation measures. - Sean Brennan 001; Andrew G. Alleyne (ACC, 2002)

Generalized H-infinity vehicle control utilizing dimensional analysis. - Sean Brennan 001; Andrew G. Alleyne (ACC, 2003)

Similarity conditions for comparing closed-loop vehicle roll and pitch dynamics. - Sean Brennan 001 (ACC, 2004)

Power distribution control coordinating ultracapacitors and batteries for electric vehicles. - Evren Ozatay; Ben Zile; Joel Anstrom; Sean Brennan 001 (ACC, 2004)

Nonsmooth Analysis and Sonar-based Implementation of Distributed Coordination Algorithms. - Craig L. Robinson; Daniel Block; Sean Brennan 001; Francesco Bullo; Jorge Cortés 001 (ICRA, 2004)

Use of dimensional analysis to reduce the parametric space for gain-scheduling. - Haftay Hailu; Sean Brennan 001 (ACC, 2005)

Dimensionless robust control with application to vehicles. - Sean Brennan 001; Andrew G. Alleyne (IEEE Trans. Control. Syst. Technol., 2005)

Low-order modeling of vehicle roll dynamics. - Bridget C. Hamblin; Ryan D. Martini; John T. Cameron; Sean N. Brennan (ACC, 2006)

Scaling of hybrid electric vehicle powertrain components for hardware-in-the-loop simulation. - Michael D. Petersheim; Sean N. Brennan (CCA, 2008)

Terrain-based road vehicle localization using particle filters. - Adam J. Dean; Ryan D. Martini; Sean N. Brennan (ACC, 2008)

Terrain-based vehicle orientation estimation combining vision and inertial measurements. - Vishisht Gupta; Sean N. Brennan (J. Field Robotics, 2008)

Experimentally Verified Optimal Serpentine Gait and Hyperredundancy of a Rigid-Link Snake Robot. - Vipul Mehta; Sean Brennan 001; Farhan Gandhi (IEEE Trans. Robotics, 2008)

Terrain-based road vehicle localization on multi-lane highways. - Adam J. Dean; Sean N. Brennan (ACC, 2009)

Improvements in terrain-based road vehicle localization by initializing an Unscented Kalman Filter using Particle Filters. - Adam J. Dean; Jack W. Langelaan; Sean N. Brennan (ACC, 2010)

Terrain-aware rollover prediction for ground vehicles using the zero-moment point method. - Sittikorn Lapapong; Sean N. Brennan (ACC, 2010)

Pitch based vehicle localization using time series subsequence matching with Multi-scale Extrema Features. - Pramod K. Vemulapalli; Adam J. Dean; Sean N. Brennan (ACC, 2011)

GPS-free terrain-based vehicle tracking on road networks. - Kshitij Jerath; Sean N. Brennan (ACC, 2012)

Monitoring delayed systems using the Smith Predictor. - Jan Maximilian Montenbruck; Sean N. Brennan (ACC, 2012)

Investigation of the effect of continuously variable transmissions on ground robot powertrain efficiency. - Jesse Pentzer; Sean Brennan 001 (ACC, 2012)

Optimally robust extrema filters for time series data. - Pramod K. Vemulapalli; Vishal Monga; Sean N. Brennan (ACC, 2012)

Terrain-based vehicle localization from real-time data using dynamical models. - Emil Laftchiev; Constantino Lagoa; Sean Brennan 001 (CDC, 2012)

Observability of neuronal network motifs. - Andrew J. Whalen; Sean N. Brennan; Timothy D. Sauer; Steven J. Schiff (CISS, 2012)

Analytical Prediction of Self-Organized Traffic Jams as a Function of Increasing ACC Penetration. - Kshitij Jerath; Sean N. Brennan (IEEE Trans. Intell. Transp. Syst., 2012)

Robust map design by outlier point selection for terrain-based vehicle localization. - Emil Laftchiev; Constantino Lagoa; Sean Brennan 001 (CDC, 2013)

Global and local frameworks for vehicle state estimation using temporally previewed mapped lane features. - Alexander A. Brown; Sean N. Brennan (Intelligent Vehicles Symposium, 2013)

Extending driving simulator capabilities toward Hardware-in-the-Loop testbeds and remote vehicle interfaces. - Kevin S. Swanson; Alexander A. Brown; Sean N. Brennan; Cynthia M. LaJambe (Intelligent Vehicles Symposium, 2013)

Robust Extrema Features for Time-Series Data Analysis. - Pramod K. Vemulapalli; Vishal Monga; Sean N. Brennan (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Statistical mechanics-inspired framework for studying the effects of mixed traffic flows on highway congestion. - Kshitij Jerath; Asok Ray; Sean N. Brennan; Vikash V. Gayah (ACC, 2014)

Robust data map design using chance constrained optimization. - Emil Laftchiev; Constantino M. Lagoa; Sean Brennan 001 (ACC, 2014)

On-line estimation of vehicle motion and power model parameters for skid-steer robot energy use prediction. - Jesse Pentzer; Sean Brennan 001; Karl Reichard (ACC, 2014)

Improving SOC accuracy using collective estimation for Lithium Ion battery cells in series. - Jariullah Safi; Michael D. Beeney; Michelle A. Kehs; Joel Anstrom; Sean Brennan 001; Hosam K. Fathy (ACC, 2014)

Open-loop vehicle collision avoidance and rollover prevention using previewed Zero-Moment Point. - Paul Stankiewicz; Alex Brown; Sean Brennan 001 (ACC, 2014)

Multi-attribute data dynamics discontinuity identification: A probabilistic approach using linear modeling. - Emil Laftchiev; Constantino Lagoa; Sean Brennan 001 (CDC, 2014)

The use of unicycle robot control strategies for skid-steer robots through the ICR kinematic mapping. - Jesse Pentzer; Sean Brennan 001; Karl Reichard (IROS, 2014)

Temporal preview estimation for design of a low cost lane-following system using a forward-facing monocular camera. - Alexander A. Brown; Sean Brennan 001 (Intelligent Vehicles Symposium, 2014)

Model-based Prediction of Skid-steer Robot Kinematics Using Online Estimation of Track Instantaneous Centers of Rotation. - Jesse Pentzer; Sean Brennan 001; Karl Reichard (J. Field Robotics, 2014)

Identification of locally influential agents in self-organizing multi-agent systems. - Kshitij Jerath; Sean Brennan 001 (ACC, 2015)

Lateral Vehicle State and Environment Estimation Using Temporally Previewed Mapped Lane Features. - Alexander A. Brown; Sean N. Brennan (IEEE Trans. Intell. Transp. Syst., 2015)

Dynamic Prediction of Vehicle Cluster Distribution in Mixed Traffic: A Statistical Mechanics-Inspired Method. - Kshitij Jerath; Asok Ray; Sean Brennan 001; Vikash V. Gayah (IEEE Trans. Intell. Transp. Syst., 2015)

Vehicle Localization Using In-Vehicle Pitch Data and Dynamical Models. - Emil I. Laftchiev; Constantino M. Lagoa; Sean N. Brennan (IEEE Trans. Intell. Transp. Syst., 2015)

Energy-based path planning for skid-steer vehicles operating in areas with mixed surface types. - Jesse Pentzer; Karl Reichard; Sean Brennan 001 (ACC, 2016)

Effects of symmetry on the structural controllability of neural networks: A perspective. - Andrew J. Whalen; Sean N. Brennan; Timothy D. Sauer; Steven J. Schiff (ACC, 2016)

Vehicle road departure detection using anomalies in dynamics. - Hang Yang; Derek McBlane; Christina Boyd; Craig Earl Beal; Sean Brennan 001 (ACC, 2016)

Variable-sensitivity road departure warning system based on static, mapped, near-road threats. - Prashant Arora; David Corbin; Sean N. Brennan (Intelligent Vehicles Symposium, 2016)

Extracting Geometric Road Centerline and Lane Edges from Single-Scan LiDAR Intensity Using Optimally Filtered Extrema Features. - Robert D. Leary; Sean N. Brennan (CCTA, 2018)

Ego-Motion Estimate Corruption Due to Violations of the Range Flow Constraint. - Chris D. Monaco; Sean N. Brennan (IROS, 2018)

Energy-Aware Path Planning for Skid-Steer Robots Operating on Hilly Terrain. - Veronica Gruning; Jesse Pentzer; Sean Brennan 001; Karl Reichard (ACC, 2020)

Increasing Efficiency of Grid Free Path Planning by Bounding the Search Region. - Seth Tau; Sean Brennan 001; Karl Reichard; Jesse Pentzer; David J. Gorsich (ACC, 2020)

Reducing Road Vehicle Fuel Consumption by Exploiting Connectivity and Automation: A Literature Survey. - Miguel Alvarez; Chu Xu; Manuel A. Rodriguez; Abdullah Al-Mamun 001; Mohamed Wahba; Sean Brennan 001; Hosam K. Fathy (CoRR, 2020)

RADARODO: Ego-Motion Estimation From Doppler and Spatial Data in RADAR Images. - Chris D. Monaco; Sean N. Brennan (IEEE Trans. Intell. Veh., 2020)

Determining the Region of Influence of a Signalized Traffic Intersection by Analysis of Heavy-duty Diesel Vehicle Fuel Consumption. - Wushuang Bai; John Borek; Liming Gao; Chris Vermillion; Sean Brennan 001 (ACC, 2021)

A Micro-simulation Framework for Studying CAVs Behavior and Control Utilizing a Traffic Simulator, Chassis Simulation, and a Shared Roadway Friction Database. - Liming Gao; Srivenkata Satya Prasad Maddipatla; Craig Earl Beal; Kshitij Jerath; Cindy Chen; Lorina Sinanaj; Hossein Haeri; Sean Brennan 001 (ACC, 2021)

Synchronization and Feedback Loop Integration of a Non-real Time Microscopic Traffic Simulation with a Real-time Driving Simulator using Model-Based Prediction. - Srivenkata Satya Prasad Maddipatla; Sean Brennan 001 (ACC, 2021)

Allan Variance-based Granulation Technique for Large Temporal Databases. - Lorina Sinanaj; Hossein Haeri; Liming Gao; Srivenkata Satya Prasad Maddipatla; Cindy Chen; Kshitij Jerath; Craig Earl Beal; Sean Brennan 001 (KMIS, 2021)

Analytical Longitudinal Speed Planning for CAVs with Previewed Road Geometry and Friction Constraints. - Liming Gao; Craig Earl Beal; Daniel Fescenmyer; Sean Brennan 001 (ITSC, 2021)

An In-Vehicle Speed Advisories HMI for Driving Safety and Fuel Economy Improvement. - Wushuang Bai; Liming Gao; Evan Pelletier; Guangwei Zhou; Sean Brennan 001 (VTC Fall, 2021)

On-line estimation of power model parameters for skid-steer robots with applications in mission energy use prediction. - Jesse Pentzer; Sean Brennan 001; Karl Reichard (J. Field Robotics, 2022)

Cooperative Exchange-Based Platooning Using Predicted Fuel-Optimal Operation of Heavy-Duty Vehicles. - Christian Earnhardt; Ben Groelke; John Borek; Evan Pelletier; Sean Brennan 001; Chris Vermillion (IEEE Trans. Intell. Transp. Syst., 2022)

Analysis of Friction Utilization Within a Roadway Network Using Simulated Vehicle Trajectories*. - Juliette Mitrovich; Srivenkata Satya Prasad Maddipatla; Liming Gao; S. Ilgin Guler; Craig Earl Beal; Sean Brennan 001 (CCTA, 2023)

Distributed Edge Computing System for Vehicle Communication. - Rinith Pakala; Niket Kathiriya; Hossein Haeri; Srivenkata Satya Prasad Maddipatla; Kshitij Jerath; Craig Earl Beal; Sean Brennan 001; Cindy Chen (DATA, 2023)

Granulation of Large Temporal Databases: An Allan Variance Approach. - Lorina Sinanaj; Hossein Haeri; Srivenkata Satya Prasad Maddipatla; Liming Gao; Rinith Pakala; Niket Kathiriya; Craig Earl Beal; Sean Brennan 001; Cindy Chen; Kshitij Jerath (SN Comput. Sci., 2023)

Performance Analysis of Moving Average Filter Using Allan Variance. - Srivenkata Satya Prasad Maddipatla; Sean Brennan 001 (ACC, 2024)

Using Databases to Implement Algorithms: Estimation of Allan Variance Using B+ -tree Data Structure. - Srivenkata Satya Prasad Maddipatla; Rinith Pakala; Hossein Haeri; Cindy Chen; Kshitij Jerath; Sean Brennan 001 (ACC, 2024)