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ORCIDSean Brennan 0001
Person information
- affiliation: University of North Carolina at Charlotte, Department of Mechanical Engineering, NC, USA
- affiliation: Pennsylvania State University, Department of Mechanical Engineering, University Park, PA, USA
- affiliation (PhD 2002): University of Illinois at Urbana-Champaign, Department of Mechanical and Industrial Engineering, IL, USA
Other persons with the same name
- Sean Brennan — disambiguation page
- Sean Brennan 0002 (aka: Sean Padraig Brennan) — University of Rochester, Department of Computer Science, NY, USA
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2020 – today
- 2023
[j13]Lorina Sinanaj
, Hossein Haeri, Srivenkata Satya Prasad Maddipatla, Liming Gao, Rinith Pakala, Niket Kathiriya, Craig Earl Beal, Sean Brennan, Cindy Chen, Kshitij Jerath:
Granulation of Large Temporal Databases: An Allan Variance Approach. SN Comput. Sci. 4(1): 7 (2023)- [c48]Juliette Mitrovich, Srivenkata Satya Prasad Maddipatla, Liming Gao, Ilgin Guler, Craig Earl Beal, Sean Brennan:
Analysis of Friction Utilization Within a Roadway Network Using Simulated Vehicle Trajectories*. CCTA 2023: 905-910 - [c47]Rinith Pakala, Niket Kathiriya, Hossein Haeri, Srivenkata Satya Prasad Maddipatla, Kshitij Jerath, Craig Earl Beal, Sean Brennan, Cindy Chen:
Distributed Edge Computing System for Vehicle Communication. DATA 2023: 398-405 - 2022
- [j12]Jesse Pentzer, Sean Brennan, Karl Reichard:
On-line estimation of power model parameters for skid-steer robots with applications in mission energy use prediction. J. Field Robotics 39(6): 763-782 (2022) - [j11]Christian Earnhardt, Ben Groelke, John Borek, Evan Pelletier, Sean Brennan, Chris Vermillion:
Cooperative Exchange-Based Platooning Using Predicted Fuel-Optimal Operation of Heavy-Duty Vehicles. IEEE Trans. Intell. Transp. Syst. 23(10): 17312-17324 (2022) - 2021
- [c46]Liming Gao, Srivenkata Satya Prasad Maddipatla, Craig Earl Beal, Kshitij Jerath, Cindy Chen, Lorina Sinanaj, Hossein Haeri, Sean Brennan:
A Micro-simulation Framework for Studying CAVs Behavior and Control Utilizing a Traffic Simulator, Chassis Simulation, and a Shared Roadway Friction Database. ACC 2021: 1650-1655 - [c45]Wushuang Bai, John Borek, Liming Gao, Chris Vermillion, Sean Brennan:
Determining the Region of Influence of a Signalized Traffic Intersection by Analysis of Heavy-duty Diesel Vehicle Fuel Consumption. ACC 2021: 1867-1874 - [c44]Srivenkata Satya Prasad Maddipatla, Sean Brennan:
Synchronization and Feedback Loop Integration of a Non-real Time Microscopic Traffic Simulation with a Real-time Driving Simulator using Model-Based Prediction. ACC 2021: 4376-4382 - [c43]Lorina Sinanaj, Hossein Haeri, Liming Gao, Srivenkata Satya Prasad Maddipatla, Cindy Chen, Kshitij Jerath, Craig Earl Beal, Sean Brennan:
Allan Variance-based Granulation Technique for Large Temporal Databases. KMIS 2021: 17-28 - [c42]Liming Gao, Craig Earl Beal, Daniel Fescenmyer, Sean Brennan:
Analytical Longitudinal Speed Planning for CAVs with Previewed Road Geometry and Friction Constraints. ITSC 2021: 1610-1615 - [c41]Wushuang Bai, Liming Gao, Evan Pelletier, Guangwei Zhou, Sean Brennan:
An In-Vehicle Speed Advisories HMI for Driving Safety and Fuel Economy Improvement. VTC Fall 2021: 1-7 - 2020
- [j10]Chris D. Monaco, Sean N. Brennan:
RADARODO: Ego-Motion Estimation From Doppler and Spatial Data in RADAR Images. IEEE Trans. Intell. Veh. 5(3): 475-484 (2020) - [c40]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 - [c39]Veronica Gruning, Jesse Pentzer, Sean Brennan, Karl Reichard:
Energy-Aware Path Planning for Skid-Steer Robots Operating on Hilly Terrain. ACC 2020: 2094-2099 - [i1]Miguel Alvarez, Chu Xu, Manuel A. Rodriguez, Abdullah Al-Mamun, Mohamed Wahba, Sean Brennan, Hosam K. Fathy:
Reducing Road Vehicle Fuel Consumption by Exploiting Connectivity and Automation: A Literature Survey. CoRR abs/2011.14805 (2020)
2010 – 2019
- 2018
- [c38]Robert D. Leary, Sean N. Brennan:
Extracting Geometric Road Centerline and Lane Edges from Single-Scan LiDAR Intensity Using Optimally Filtered Extrema Features. CCTA 2018: 1133-1138 - [c37]Chris D. Monaco, Sean N. Brennan:
Ego-Motion Estimate Corruption Due to Violations of the Range Flow Constraint. IROS 2018: 3964-3969 - 2016
- [c36]Jesse Pentzer, Karl Reichard, Sean Brennan:
Energy-based path planning for skid-steer vehicles operating in areas with mixed surface types. ACC 2016: 2110-2115 - [c35]Andrew J. Whalen, Sean N. Brennan, Timothy D. Sauer, Steven J. Schiff:
Effects of symmetry on the structural controllability of neural networks: A perspective. ACC 2016: 5785-5790 - [c34]Hang Yang, Derek McBlane, Christina Boyd, Craig Earl Beal, Sean Brennan:
Vehicle road departure detection using anomalies in dynamics. ACC 2016: 6314-6319 - [c33]Prashant Arora, David Corbin, Sean N. Brennan:
Variable-sensitivity road departure warning system based on static, mapped, near-road threats. Intelligent Vehicles Symposium 2016: 1217-1223 - 2015
- [j9]Emil I. Laftchiev, Constantino M. Lagoa, Sean N. Brennan:
Vehicle Localization Using In-Vehicle Pitch Data and Dynamical Models. IEEE Trans. Intell. Transp. Syst. 16(1): 206-220 (2015) - [j8]Alexander A. Brown, Sean N. Brennan:
Lateral Vehicle State and Environment Estimation Using Temporally Previewed Mapped Lane Features. IEEE Trans. Intell. Transp. Syst. 16(3): 1601-1608 (2015) - [j7]Kshitij Jerath, Asok Ray, Sean Brennan, Vikash V. Gayah:
Dynamic Prediction of Vehicle Cluster Distribution in Mixed Traffic: A Statistical Mechanics-Inspired Method. IEEE Trans. Intell. Transp. Syst. 16(5): 2424-2434 (2015) - [c32]Kshitij Jerath, Sean Brennan:
Identification of locally influential agents in self-organizing multi-agent systems. ACC 2015: 335-340 - 2014
- [j6]Jesse Pentzer, Sean Brennan, Karl Reichard:
Model-based Prediction of Skid-steer Robot Kinematics Using Online Estimation of Track Instantaneous Centers of Rotation. J. Field Robotics 31(3): 455-476 (2014) - [c31]Jariullah Safi, Michael D. Beeney, Michelle A. Kehs, Joel Anstrom, Sean Brennan, Hosam K. Fathy:
Improving SOC accuracy using collective estimation for Lithium Ion battery cells in series. ACC 2014: 254-259 - [c30]Jesse Pentzer, Sean Brennan, Karl Reichard:
On-line estimation of vehicle motion and power model parameters for skid-steer robot energy use prediction. ACC 2014: 2786-2791 - [c29]Paul Stankiewicz, Alex Brown, Sean Brennan:
Open-loop vehicle collision avoidance and rollover prevention using previewed Zero-Moment Point. ACC 2014: 3207-3212 - [c28]Emil Laftchiev, Constantino M. Lagoa, Sean Brennan:
Robust data map design using chance constrained optimization. ACC 2014: 4573-4580 - [c27]Kshitij Jerath, Asok Ray, Sean N. Brennan, Vikash V. Gayah:
Statistical mechanics-inspired framework for studying the effects of mixed traffic flows on highway congestion. ACC 2014: 5402-5407 - [c26]Emil Laftchiev, Constantino Lagoa, Sean Brennan:
Multi-attribute data dynamics discontinuity identification: A probabilistic approach using linear modeling. CDC 2014: 5666-5673 - [c25]Jesse Pentzer, Sean Brennan, Karl Reichard:
The use of unicycle robot control strategies for skid-steer robots through the ICR kinematic mapping. IROS 2014: 3201-3206 - [c24]Alexander A. Brown, Sean Brennan:
Temporal preview estimation for design of a low cost lane-following system using a forward-facing monocular camera. Intelligent Vehicles Symposium 2014: 1457-1462 - 2013
- [j5]Pramod K. Vemulapalli, Vishal Monga, Sean N. Brennan:
Robust Extrema Features for Time-Series Data Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 35(6): 1464-1479 (2013) - [c23]Emil Laftchiev, Constantino Lagoa, Sean Brennan:
Robust map design by outlier point selection for terrain-based vehicle localization. CDC 2013: 2822-2827 - [c22]Kevin S. Swanson, Alexander A. Brown, Sean N. Brennan, Cynthia M. LaJambe:
Extending driving simulator capabilities toward Hardware-in-the-Loop testbeds and remote vehicle interfaces. Intelligent Vehicles Symposium 2013: 122-127 - [c21]Alexander A. Brown, Sean N. Brennan:
Global and local frameworks for vehicle state estimation using temporally previewed mapped lane features. Intelligent Vehicles Symposium 2013: 134-140 - 2012
- [j4]Kshitij Jerath, Sean N. Brennan:
Analytical Prediction of Self-Organized Traffic Jams as a Function of Increasing ACC Penetration. IEEE Trans. Intell. Transp. Syst. 13(4): 1782-1791 (2012) - [c20]Kshitij Jerath, Sean N. Brennan:
GPS-free terrain-based vehicle tracking on road networks. ACC 2012: 307-311 - [c19]Pramod K. Vemulapalli, Vishal Monga, Sean N. Brennan:
Optimally robust extrema filters for time series data. ACC 2012: 2189-2195 - [c18]Jesse Pentzer, Sean Brennan:
Investigation of the effect of continuously variable transmissions on ground robot powertrain efficiency. ACC 2012: 4245-4250 - [c17]Jan Maximilian Montenbruck, Sean N. Brennan:
Monitoring delayed systems using the Smith Predictor. ACC 2012: 6235-6239 - [c16]Emil Laftchiev, Constantino Lagoa, Sean Brennan:
Terrain-based vehicle localization from real-time data using dynamical models. CDC 2012: 3366-3371 - [c15]Andrew J. Whalen, Sean N. Brennan, Timothy D. Sauer, Steven J. Schiff:
Observability of neuronal network motifs. CISS 2012: 1-5 - 2011
- [c14]Pramod K. Vemulapalli, Adam J. Dean, Sean N. Brennan:
Pitch based vehicle localization using time series subsequence matching with Multi-scale Extrema Features. ACC 2011: 2405-2410 - 2010
- [c13]Adam J. Dean, Jack W. Langelaan, Sean N. Brennan:
Improvements in terrain-based road vehicle localization by initializing an Unscented Kalman Filter using Particle Filters. ACC 2010: 700-707 - [c12]Sittikorn Lapapong, Sean N. Brennan:
Terrain-aware rollover prediction for ground vehicles using the zero-moment point method. ACC 2010: 1501-1507
2000 – 2009
- 2009
- [c11]Adam J. Dean, Sean N. Brennan:
Terrain-based road vehicle localization on multi-lane highways. ACC 2009: 707-712 - 2008
- [j3]Vishisht Gupta, Sean N. Brennan:
Terrain-based vehicle orientation estimation combining vision and inertial measurements. J. Field Robotics 25(3): 181-202 (2008) - [j2]Vipul Mehta, Sean Brennan, Farhan Gandhi:
Experimentally Verified Optimal Serpentine Gait and Hyperredundancy of a Rigid-Link Snake Robot. IEEE Trans. Robotics 24(2): 348-360 (2008) - [c10]Michael D. Petersheim, Sean N. Brennan:
Scaling of hybrid electric vehicle powertrain components for hardware-in-the-loop simulation. CCA 2008: 720-726 - [c9]Adam J. Dean, Ryan D. Martini, Sean N. Brennan:
Terrain-based road vehicle localization using particle filters. ACC 2008: 236-241 - 2006
- [c8]Bridget C. Hamblin, Ryan D. Martini, John T. Cameron, Sean N. Brennan:
Low-order modeling of vehicle roll dynamics. ACC 2006: 1-8 - 2005
- [j1]Sean Brennan, Andrew G. Alleyne:
Dimensionless robust control with application to vehicles. IEEE Trans. Control. Syst. Technol. 13(4): 624-630 (2005) - [c7]Haftay Hailu, Sean Brennan:
Use of dimensional analysis to reduce the parametric space for gain-scheduling. ACC 2005: 598-603vol.1 - 2004
- [c6]Sean Brennan:
Similarity conditions for comparing closed-loop vehicle roll and pitch dynamics. ACC 2004: 3393-3398 - [c5]Evren Ozatay, Ben Zile, Joel Anstrom, Sean Brennan:
Power distribution control coordinating ultracapacitors and batteries for electric vehicles. ACC 2004: 4716-4721 - [c4]Craig L. Robinson, Daniel Block, Sean Brennan, Francesco Bullo, Jorge Cortés:
Nonsmooth Analysis and Sonar-based Implementation of Distributed Coordination Algorithms. ICRA 2004: 3000-3005 - 2003
- [c3]Sean Brennan, Andrew G. Alleyne:
Generalized H-infinity vehicle control utilizing dimensional analysis. ACC 2003: 3774-3780 - 2002
- [c2]Sean Brennan, Andrew G. Alleyne:
H-infinity vehicle control using nondimensional perturbation measures. ACC 2002: 2534-2539 - 2001
- [c1]Sean Brennan, Andrew G. Alleyne:
Integrated vehicle control via coordinated steering and wheel torque inputs. ACC 2001: 7-12
Coauthor Index
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