David J. LeBlanc

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 24

Top Topics

Autonomous Vehicles

Importance Sampling

Finite Mixture Models

Top Venues

IEEE Trans. Intell. Transp. Syst.

Intelligent Vehicles Symposium

Publications

Xintao Yan, Shuo Feng, David J. LeBlanc, Carol Flannagan, Henry X. Liu
Evaluation of Automated Driving System Safety Metrics With Logged Vehicle Trajectory Data. IEEE Trans. Intell. Transp. Syst. 25 (8) (2024)
Xintao Yan, Shuo Feng, David J. LeBlanc, Carol Flannagan, Henry X. Liu
Evaluation of automated driving system safety metrics with logged vehicle trajectory data. CoRR (2024)
Arpan Kusari, Asma Almutairi, Mark E. Gilbert, David J. LeBlanc
Object level footprint uncertainty quantification in infrastructure based sensing. CoRR (2023)
Arpan Kusari, Pei Li, Hanzhi Yang, Nikhil Punshi, Mich Rasulis, Scott Bogard, David J. LeBlanc
Enhancing SUMO simulator for simulation based testing and validation of autonomous vehicles. IV (2022)
Geunseob Oh, David J. LeBlanc, Huei Peng
Vehicle Energy Dataset (VED), A Large-Scale Dataset for Vehicle Energy Consumption Research. IEEE Trans. Intell. Transp. Syst. 23 (4) (2022)
Arpan Kusari, Pei Li, Hanzhi Yang, Nikhil Punshi, Mich Rasulis, Scott Bogard, David J. LeBlanc
Enhancing SUMO simulator for simulation based testing and validation of autonomous vehicles. CoRR (2021)
Pei Li, Arpan Kusari, David J. LeBlanc
A Novel Traffic Simulation Framework for Testing Autonomous Vehicles Using SUMO and CARLA. CoRR (2021)
Ding Zhao, Xianan Huang, Huei Peng, Henry Lam, David J. LeBlanc
Accelerated Evaluation of Automated Vehicles in Car-Following Maneuvers. IEEE Trans. Intell. Transp. Syst. 19 (3) (2018)
Zhiyuan Huang, Henry Lam, David J. LeBlanc, Ding Zhao
Accelerated Evaluation of Automated Vehicles Using Piecewise Mixture Models. IEEE Trans. Intell. Transp. Syst. 19 (9) (2018)
Ding Zhao, Henry Lam, Huei Peng, Shan Bao, David J. LeBlanc, Kazutoshi Nobukawa, Christopher S. Pan
Accelerated Evaluation of Automated Vehicles Safety in Lane-Change Scenarios Based on Importance Sampling Techniques. IEEE Trans. Intell. Transp. Syst. 18 (3) (2017)
Ding Zhao, Wenshuo Wang, David J. LeBlanc
Evaluation of A Semi-Autonomous Lane Departure Correction System Using Naturalistic Driving Data. CoRR (2017)
Kazutoshi Nobukawa, Shan Bao, David J. LeBlanc, Ding Zhao, Huei Peng, Christopher S. Pan
Gap Acceptance During Lane Changes by Large-Truck Drivers-An Image-Based Analysis. CoRR (2017)
Wenshuo Wang, Ding Zhao, Junqiang Xi, David J. LeBlanc, J. Karl Hedrick
Development and evaluation of two learning-based personalized driver models for car-following behaviors. ACC (2017)
Zhiyuan Huang, Ding Zhao, Henry Lam, David J. LeBlanc
Accelerated Evaluation of Automated Vehicles Using Piecewise Mixture Models. CoRR (2017)
Xinpeng Wang, Ding Zhao, Huei Peng, David J. LeBlanc
Analysis of Unprotected Intersection Left-Turn Conflicts based on Naturalistic Driving Data. CoRR (2017)
Ding Zhao, Huei Peng, Kazutoshi Nobukawa, Shan Bao, David J. LeBlanc, Christopher S. Pan
Analysis of mandatory and discretionary lane change behaviors for heavy trucks. CoRR (2017)
Wenshuo Wang, Ding Zhao, Junqiang Xi, David J. LeBlanc, J. Karl Hedrick
Development and Evaluation of Two Learning-Based Personalized Driver Models for Car-Following Behaviors. CoRR (2017)
Ding Zhao, Wenshuo Wang, David J. LeBlanc
Evaluation of a semi-autonomous lane departure correction system using naturalistic driving data. Intelligent Vehicles Symposium (2017)
Zhiyuan Huang, Ding Zhao, Henry Lam, David J. LeBlanc, Huei Peng
Evaluation of automated vehicles in the frontal cut-in scenario - An enhanced approach using piecewise mixture models. ICRA (2017)
Xinpeng Wang, Ding Zhao, Huei Peng, David J. LeBlanc
Analysis of unprotected intersection left-turn conflicts based on naturalistic driving data. Intelligent Vehicles Symposium (2017)
Kazutoshi Nobukawa, Shan Bao, David J. LeBlanc, Ding Zhao, Huei Peng, Christopher S. Pan
Gap Acceptance During Lane Changes by Large-Truck Drivers - An Image-Based Analysis. IEEE Trans. Intell. Transp. Syst. 17 (3) (2016)
Ding Zhao, Henry Lam, Huei Peng, Shan Bao, David J. LeBlanc, Kazutoshi Nobukawa, Christopher S. Pan
Accelerated Evaluation of Automated Vehicles based on Importance Sampling Techniques. CoRR (2016)
Ding Zhao, Xianan Huang, Huei Peng, Henry Lam, David J. LeBlanc
Accelerated Evaluation of Automated Vehicles in Car-Following Maneuvers. CoRR (2016)
Zhiyuan Huang, Ding Zhao, Henry Lam, David J. LeBlanc, Huei Peng
Accelerated Evaluation of Automated Vehicles using Piecewise Mixture Distribution Models. CoRR (2016)
Avi Rosenfeld, Zevi Bareket, Claudia V. Goldman, David J. LeBlanc, Omer Tsimhoni
Learning Drivers' Behavior to Improve Adaptive Cruise Control. J. Intell. Transp. Syst. 19 (1) (2015)
William Buller, Brian Wilson, James Ebling, Line van Nieuwstadt, Rini Sherony, David J. LeBlanc
Radar Scattering Design Elements for a Pre-Collision System Surrogate Target. VTC Spring (2013)
Avi Rosenfeld, Zevi Bareket, Claudia V. Goldman, Sarit Kraus, David J. LeBlanc, Omer Tsimhoni
Towards Adapting Cars to their Drivers. AI Mag. 33 (4) (2012)
Avi Rosenfeld, Zevi Bareket, Claudia V. Goldman, Sarit Kraus, David J. LeBlanc, Omer Tsimhoni
Learning Driver's Behavior to Improve the Acceptance of Adaptive Cruise Control. IAAI (2012)
Shan Bao, David J. LeBlanc, James R. Sayer, Carol Flannagan
Heavy-Truck Drivers' Following Behavior With Intervention of an Integrated, In-Vehicle Crash Warning System: A Field Evaluation. Hum. Factors 54 (5) (2012)
Nikhil Mudaliar, David J. LeBlanc, Huei Peng
Linear estimator for road departure warning systems. ACC (2004)
Chiu-Feng Lin, A. Galip Ulsoy, David J. LeBlanc
Vehicle dynamics and external disturbance estimation for vehicle path prediction. IEEE Trans. Control. Syst. Technol. 8 (3) (2000)