Sean N. Brennan

Publication Activity (10 Years)

Years Active: 2002-2022
Publications (10 Years): 7

Top Topics

Hough Transform

Top Venues

IEEE Trans. Intell. Transp. Syst.

Intelligent Vehicles Symposium

Publications

Jesse Pentzer, Sean N. 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) (2022)
Christian Earnhardt, Ben Groelke, John Borek, Evan Pelletier, Sean N. Brennan, Chris Vermillion
Cooperative Exchange-Based Platooning Using Predicted Fuel-Optimal Operation of Heavy-Duty Vehicles. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Chris D. Monaco, Sean N. Brennan
RADARODO: Ego-Motion Estimation From Doppler and Spatial Data in RADAR Images. IEEE Trans. Intell. Veh. 5 (3) (2020)
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)
Chris D. Monaco, Sean N. Brennan
Ego-Motion Estimate Corruption Due to Violations of the Range Flow Constraint. IROS (2018)
Prashant Arora, David Corbin, Sean N. Brennan
Variable-sensitivity road departure warning system based on static, mapped, near-road threats. Intelligent Vehicles Symposium (2016)
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)
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) (2015)
Kshitij Jerath, Sean N. Brennan
Identification of locally influential agents in self-organizing multi-agent systems. ACC (2015)
Kshitij Jerath, Asok Ray, Sean N. 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) (2015)
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) (2015)
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)
Emil Laftchiev, Constantino M. Lagoa, Sean N. Brennan
Robust data map design using chance constrained optimization. ACC (2014)
Emil Laftchiev, Constantino Lagoa, Sean N. Brennan
Multi-attribute data dynamics discontinuity identification: A probabilistic approach using linear modeling. CDC (2014)
Alexander A. Brown, Sean N. Brennan
Temporal preview estimation for design of a low cost lane-following system using a forward-facing monocular camera. Intelligent Vehicles Symposium (2014)
Emil Laftchiev, Constantino Lagoa, Sean N. Brennan
Robust map design by outlier point selection for terrain-based vehicle localization. CDC (2013)
Pramod K. Vemulapalli, Vishal Monga, Sean N. Brennan
Robust Extrema Features for Time-Series Data Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 35 (6) (2013)
Alexander A. Brown, Sean N. Brennan
Global and local frameworks for vehicle state estimation using temporally previewed mapped lane features. Intelligent Vehicles Symposium (2013)
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)
Pramod K. Vemulapalli, Vishal Monga, Sean N. Brennan
Optimally robust extrema filters for time series data. ACC (2012)
Andrew J. Whalen, Sean N. Brennan, Timothy D. Sauer, Steven J. Schiff
Observability of neuronal network motifs. CISS (2012)
Kshitij Jerath, Sean N. Brennan
GPS-free terrain-based vehicle tracking on road networks. ACC (2012)
Emil Laftchiev, Constantino Lagoa, Sean N. Brennan
Terrain-based vehicle localization from real-time data using dynamical models. CDC (2012)
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) (2012)
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)
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)
Sittikorn Lapapong, Sean N. Brennan
Terrain-aware rollover prediction for ground vehicles using the zero-moment point method. ACC (2010)
Adam J. Dean, Sean N. Brennan
Terrain-based road vehicle localization on multi-lane highways. ACC (2009)
Michael D. Petersheim, Sean N. Brennan
Scaling of hybrid electric vehicle powertrain components for hardware-in-the-loop simulation. CCA (2008)
Adam J. Dean, Ryan D. Martini, Sean N. Brennan
Terrain-based road vehicle localization using particle filters. ACC (2008)
Bridget C. Hamblin, Ryan D. Martini, John T. Cameron, Sean N. Brennan
Low-order modeling of vehicle roll dynamics. ACC (2006)
Sean N. Brennan, Andrew G. Alleyne
H-infinity vehicle control using nondimensional perturbation measures. ACC (2002)