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Qi Wang
Qi Wang
Jilin University/Beijing Institute of Technology
在 mails.jlu.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Cost-sensitive semi-supervised deep learning to assess driving risk by application of naturalistic vehicle trajectories
H Hu, Q Wang, M Cheng, Z Gao
Expert Systems with Applications 178, 115041, 2021
272021
End-to-End automated lane-change maneuvering considering driving style using a deep deterministic policy gradient algorithm
H Hu, Z Lu, Q Wang, C Zheng
Sensors 20 (18), 5443, 2020
262020
Vehicle trajectory prediction considering aleatoric uncertainty
H Hu, Q Wang, L Du, Z Lu, Z Gao
Knowledge-Based Systems 255, 109617, 2022
252022
Holistic transformer: A joint neural network for trajectory prediction and decision-making of autonomous vehicles
H Hu, Q Wang, Z Zhang, Z Li, Z Gao
Pattern Recognition 141, 109592, 2023
172023
Monocular 3-D vehicle detection using a cascade network for autonomous driving
H Hu, T Zhao, Q Wang, F Gao, L He, Z Gao
IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021
172021
A correction algorithm of QR code on cylindrical surface
K Li, F Meng, Z Huang, Q Wang
Journal of Physics: Conference Series 1237 (2), 022006, 2019
142019
Rubber hose surface defect detection system based on machine vision
F Meng, J Ren, Q Wang, T Zhang
IOP Conference Series: Earth and Environmental Science 108 (2), 022057, 2018
102018
R-CNN based 3D object detection for autonomous driving
H Hu, T Zhao, Q Wang, F Gao, L He
CICTP 2020, 918-929, 2020
92020
Trajectory prediction neural network and model interpretation based on temporal pattern attention
H Hu, Q Wang, M Cheng, Z Gao
IEEE Transactions on Intelligent Transportation Systems 24 (3), 2746-2759, 2022
82022
Anomaly detection in periodic motion scenes based on multi-scale feature Gaussian weighting analysis
Q Wang, F Meng, Z Huang, K Li
Measurement Science and Technology 30 (5), 055602, 2019
62019
A survey of machine vision-based monitoring methods for abnormalities in molds
FW Meng, Q Wang, KJ Li, ZP Huang
IOP Conference Series: Materials Science and Engineering 439 (3), 032086, 2018
32018
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