Ding Zhao
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
1282016
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
782017
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
482017
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
402018
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
382018
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
362018
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
362018
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
342017
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
302018
Accelerated Evaluation of Automated Vehicles.
D Zhao
University of Michigan, Ann Arbor, 2016
302016
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
292017
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
282016
Accelerated evaluation of automated vehicles using extracted naturalistic driving data
D Zhao, H Peng, S Bao, K Nobukawa, D LeBlanc, C Pan
Dyn. Veh. Roads Tracks 18 (3), 287-296, 2016
262016
Evaluation of automated vehicles encountering pedestrians at unsignalized crossings
B Chen, D Zhao, H Peng
2017 IEEE Intelligent Vehicles Symposium (IV), 1679-1685, 2017
242017
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
232018
Trafficnet: An open naturalistic driving scenario library
D Zhao, Y Guo, YJ Jia
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
202017
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
202017
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
182014
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
162018
Development and Evaluation of Two Learning-Based Personalized Driver Models for Car-Following Behaviors
W Wang, D Zhao, J Xi, DJ LeBlanc, JK Hedrick
American Control Conference (ACC), 2017, 2017
152017
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