Ding Zhao
Ding Zhao
Assistant Professor @ Carnegie Mellon University
在 cmu.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Accelerated evaluation of automated vehicles safety in lane-change scenarios based on importance sampling techniques
D Zhao, H Lam, H Peng, S Bao, DJ LeBlanc, K Nobukawa, CS Pan
IEEE transactions on intelligent transportation systems 18 (3), 595-607, 2016
2022016
Accelerated evaluation of automated vehicles in car-following maneuvers
D Zhao, X Huang, H Peng, H Lam, DJ LeBlanc
IEEE Transactions on Intelligent Transportation Systems 19 (3), 733-744, 2017
1172017
Driving style analysis using primitive driving patterns with Bayesian nonparametric approaches
W Wang, J Xi, D Zhao
IEEE Transactions on Intelligent Transportation Systems 20 (8), 2986-2998, 2018
692018
A learning-based approach for lane departure warning systems with a personalized driver model
W Wang, D Zhao, W Han, J Xi
IEEE Transactions on Vehicular Technology 67 (10), 9145-9157, 2018
682018
Learning and inferring a driver's braking action in car-following scenarios
W Wang, J Xi, D Zhao
IEEE Transactions on Vehicular Technology 67 (5), 3887-3899, 2018
672018
How much data are enough? A statistical approach with case study on longitudinal driving behavior
W Wang, C Liu, D Zhao
IEEE Transactions on Intelligent Vehicles 2 (2), 85-98, 2017
672017
Intelligent and connected vehicles: Current status and future perspectives
DG Yang, K Jiang, D Zhao, CL Yu, Z Cao, SC Xie, ZY Xiao, XY Jiao, ...
Science China Technological Sciences 61 (10), 1446-1471, 2018
562018
Accelerated evaluation of automated vehicles using piecewise mixture models
Z Huang, H Lam, DJ LeBlanc, D Zhao
IEEE Transactions on Intelligent Transportation Systems 19 (9), 2845-2855, 2017
482017
Extracting traffic primitives directly from naturalistically logged data for self-driving applications
W Wang, D Zhao
IEEE Robotics and Automation Letters 3 (2), 1223-1229, 2018
462018
Empirical study of DSRC performance based on safety pilot model deployment data
X Huang, D Zhao, H Peng
IEEE Transactions on Intelligent Transportation Systems 18 (10), 2619-2628, 2017
422017
Accelerated Evaluation of Automated Vehicles.
D Zhao
412016
Accelerated evaluation of automated vehicles using extracted naturalistic driving data
D Zhao, H Peng, S Bao, K Nobukawa, DJ LeBlanc, CS Pan
Proceeding for 24th International Symposium of Vehicles on Road and Tracks, 2015
332015
Trafficnet: An open naturalistic driving scenario library
D Zhao, Y Guo, YJ Jia
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
322017
Optimal design of three-planetary-gear power-split hybrid powertrains
W Zhuang, X Zhang, D Zhao, H Peng, L Wang
International Journal of Automotive Technology 17 (2), 299-309, 2016
312016
From the lab to the street: Solving the challenge of accelerating automated vehicle testing
D Zhao, H Peng
Hitachi Review 67 (1), 014-015, 2018
302018
Evaluation of lane departure correction systems using a regenerative stochastic driver model
W Wang, D Zhao
IEEE Transactions on Intelligent Vehicles 2 (3), 221-232, 2017
292017
Evaluation of automated vehicles encountering pedestrians at unsignalized crossings
B Chen, D Zhao, H Peng
2017 IEEE Intelligent Vehicles Symposium (IV), 1679-1685, 2017
292017
Improving localization accuracy in connected vehicle networks using Rao–Blackwellized particle filters: Theory, simulations, and experiments
M Shen, J Sun, H Peng, D Zhao
IEEE Transactions on Intelligent Transportation Systems 20 (6), 2255-2266, 2018
232018
Analysis of mandatory and discretionary lane change behaviors for heavy trucks
D Zhao, H Peng, K Nobukawa, S Bao, DJ LeBlanc, CS Pan
12th International Symposium on Advanced Vehicle Control, 2014
232014
A multi-vehicle trajectories generator to simulate vehicle-to-vehicle encountering scenarios
W Ding, W Wang, D Zhao
2019 International Conference on Robotics and Automation (ICRA), 4255-4261, 2019
22*2019
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