David J. LeBlanc

According to our database, David J. LeBlanc authored at least 24 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluation of Automated Driving System Safety Metrics With Logged Vehicle Trajectory Data.

Xintao Yan, Shuo Feng, David J. LeBlanc, Carol Flannagan, Henry X. Liu

IEEE Trans. Intell. Transp. Syst., August, 2024

2023

Object level footprint uncertainty quantification in infrastructure based sensing.

Arpan Kusari, Asma Almutairi, Mark E. Gilbert, David J. LeBlanc

CoRR, 2023

2022

Vehicle Energy Dataset (VED), A Large-Scale Dataset for Vehicle Energy Consumption Research.

Geunseob Oh, David J. LeBlanc, Huei Peng

IEEE Trans. Intell. Transp. Syst., 2022

Enhancing SUMO simulator for simulation based testing and validation of autonomous vehicles.

Arpan Kusari, Pei Li, Hanzhi Yang, Nikhil Punshi, Mich Rasulis, Scott Bogard, David J. LeBlanc

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

2021

A Novel Traffic Simulation Framework for Testing Autonomous Vehicles Using SUMO and CARLA.

Pei Li, Arpan Kusari, David J. LeBlanc

CoRR, 2021

2018

Accelerated Evaluation of Automated Vehicles in Car-Following Maneuvers.

Ding Zhao, Xianan Huang, Huei Peng, Henry Lam, David J. LeBlanc

IEEE Trans. Intell. Transp. Syst., 2018

Accelerated Evaluation of Automated Vehicles Using Piecewise Mixture Models.

Zhiyuan Huang, Henry Lam, David J. LeBlanc, Ding Zhao

IEEE Trans. Intell. Transp. Syst., 2018

2017

Accelerated Evaluation of Automated Vehicles Safety in Lane-Change Scenarios Based on Importance Sampling Techniques.

Ding Zhao, Henry Lam, Huei Peng, Shan Bao, David J. LeBlanc, Kazutoshi Nobukawa, Christopher S. Pan

IEEE Trans. Intell. Transp. Syst., 2017

Analysis of mandatory and discretionary lane change behaviors for heavy trucks.

Ding Zhao, Huei Peng, Kazutoshi Nobukawa, Shan Bao, David J. LeBlanc, Christopher S. Pan

CoRR, 2017

Evaluation of a semi-autonomous lane departure correction system using naturalistic driving data.

Ding Zhao, Wenshuo Wang, David J. LeBlanc

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Analysis of unprotected intersection left-turn conflicts based on naturalistic driving data.

Xinpeng Wang, Ding Zhao, Huei Peng, David J. LeBlanc

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Evaluation of automated vehicles in the frontal cut-in scenario - An enhanced approach using piecewise mixture models.

Zhiyuan Huang, Ding Zhao, Henry Lam, David J. LeBlanc, Huei Peng

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Development and evaluation of two learning-based personalized driver models for car-following behaviors.

Wenshuo Wang, Ding Zhao, Junqiang Xi, David J. LeBlanc, J. Karl Hedrick

Proceedings of the 2017 American Control Conference, 2017

2016

Gap Acceptance During Lane Changes by Large-Truck Drivers - An Image-Based Analysis.

Kazutoshi Nobukawa, Shan Bao, David J. LeBlanc, Ding Zhao, Huei Peng, Christopher S. Pan

IEEE Trans. Intell. Transp. Syst., 2016

Accelerated Evaluation of Automated Vehicles based on Importance Sampling Techniques.

Ding Zhao, Henry Lam, Huei Peng, Shan Bao, David J. LeBlanc, Kazutoshi Nobukawa, Christopher S. Pan

CoRR, 2016

Accelerated Evaluation of Automated Vehicles using Piecewise Mixture Distribution Models.

Zhiyuan Huang, Ding Zhao, Henry Lam, David J. LeBlanc, Huei Peng

CoRR, 2016

2015

Learning Drivers' Behavior to Improve Adaptive Cruise Control.

Avi Rosenfeld, Zevi Bareket, Claudia V. Goldman, David J. LeBlanc, Omer Tsimhoni

J. Intell. Transp. Syst., 2015

2013

Radar Scattering Design Elements for a Pre-Collision System Surrogate Target.

William Buller, Brian Wilson, James Ebling, Line van Nieuwstadt, Rini Sherony, David J. LeBlanc

Proceedings of the 77th IEEE Vehicular Technology Conference, 2013

2012

Heavy-Truck Drivers' Following Behavior With Intervention of an Integrated, In-Vehicle Crash Warning System: A Field Evaluation.

Shan Bao, David J. LeBlanc, James R. Sayer, Carol Flannagan

Hum. Factors, 2012

Towards Adapting Cars to their Drivers.

Avi Rosenfeld, Zevi Bareket, Claudia V. Goldman, Sarit Kraus, David J. LeBlanc, Omer Tsimhoni

AI Mag., 2012

Learning Driver's Behavior to Improve the Acceptance of Adaptive Cruise Control.

Avi Rosenfeld, Zevi Bareket, Claudia V. Goldman, Sarit Kraus, David J. LeBlanc, Omer Tsimhoni

Proceedings of the Twenty-Fourth Conference on Innovative Applications of Artificial Intelligence, 2012

2004

Linear estimator for road departure warning systems.

Nikhil Mudaliar, David J. LeBlanc, Huei Peng

Proceedings of the 2004 American Control Conference, 2004

2000

Vehicle dynamics and external disturbance estimation for vehicle path prediction.

Chiu-Feng Lin, A. Galip Ulsoy, David J. LeBlanc

IEEE Trans. Control. Syst. Technol., 2000

1994

Computing range maps for low-altitude rotorcraft flight using computer vision and a hierarchical framework.

David J. LeBlanc

PhD thesis, 1994