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Wei Zhan
Wei Zhan
Co-Director, Berkeley DeepDrive; Assistant Professional Researcher, UC Berkeley
在 berkeley.edu 的电子邮件经过验证 - 首页
标题
引用次数
年份
Gaussian: Self-Supervised Street Gaussians for Autonomous Driving
N Huang, X Wei, W Zheng, P An, M Lu, W Zhan, M Tomizuka, K Keutzer, ...
arXiv preprint arXiv:2405.20323, 2024
2024
A 3D Dynamic Scene Analysis Framework for Development of Intelligent Transportation Systems
CY Wang, A Narayanan, A Patil, W Zhan, YT Chen
2018 IEEE Intelligent Vehicles Symposium (IV), 1800-1806, 2018
102018
A fast integrated planning and control framework for autonomous driving via imitation learning
L Sun, C Peng, W Zhan, M Tomizuka
ASME 2018 Dynamic Systems and Control Conference, V003T37A012-V003T37A012, 2018
1052018
A framework for probabilistic generic traffic scene prediction
Y Hu, W Zhan, M Tomizuka
2018 21st International Conference on Intelligent Transportation Systems …, 2018
432018
A Game-Theoretic Strategy-Aware Interaction Algorithm with Validation on Real Traffic Data
L Sun, M Cai, W Zhan, M Tomizuka
International Conference on Intelligent Robots and Systems (IROS20), 2020
142020
A non-conservatively defensive strategy for urban autonomous driving
W Zhan, C Liu, CY Chan, M Tomizuka
2016 IEEE 19th International Conference on Intelligent Transportation …, 2016
1152016
A Remote Control Strategy for an Autonomous Vehicle with Slow Sensor Using Kalman Filtering and Dual-Rate Control
Á Cuenca, W Zhan, J Salt, J Alcaina, C Tang, M Tomizuka
Sensors 19 (13), 2983, 2019
172019
A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning
J Li, L Sun, M Tomizuka, W Zhan
2021 IEEE International Conference on Robotics and Automation (ICRA21), 2021
362021
A Simple and Efficient Multi-task Network for 3D Object Detection and Road Understanding
D Feng, Y Zhou, C Xu, M Tomizuka, W Zhan
International Conference on Intelligent Robots and Systems (IROS21), 2021
172021
Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing
T Benciolini, C Tang, M Leibold, C Weaver, M Tomizuka, W Zhan
arXiv preprint arXiv:2311.01993, 2023
2023
Active finetuning: Exploiting annotation budget in the pretraining-finetuning paradigm
Y Xie, H Lu, J Yan, X Yang, M Tomizuka, W Zhan
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 23715 …, 2023
172023
Adaptive sampling-based motion planning with a non-conservatively defensive strategy for autonomous driving
Z Li, W Zhan, L Sun, CY Chan, M Tomizuka
The 21st IFAC World Congress, 2020
132020
Allocation of actuators and sensors for coupled-adjacent-building vibration attenuation
H Gao, W Zhan, HR Karimi, X Yang, S Yin
IEEE Transactions on Industrial Electronics 60 (12), 5792-5801, 2013
372013
An Efficient General-Purpose Modular Vision Model via Multi-Task Heterogeneous Training
Z Chen, M Ding, Y Shen, W Zhan, M Tomizuka, E Learned-Miller, C Gan
arXiv preprint arXiv:2306.17165, 2023
32023
Analyzing the Suitability of Cost Functions for Explaining and Imitating Human Driving Behavior based on Inverse Reinforcement Learning
M Naumann, L Sun, W Zhan, M Tomizuka
2020 IEEE International Conference on Robotics and Automation, 2020
532020
Automatic Construction of Lane-level HD Maps for Urban Scenes
Y Zhou, Y Takeda, M Tomizuka, W Zhan
International Conference on Intelligent Robots and Systems (IROS21), 2021
362021
Autonomous Driving Motion Planning with Constrained Iterative LQR
J Chen, W Zhan, M Tomizuka
IEEE Transactions on Intelligent Vehicles, 2019
1452019
AutoScale: Learning to Scale for Crowd Counting and Localization
C Xu, D Liang, Y Xu, S Bai, W Zhan, X Bai, M Tomizuka
International Journal of Computer Vision (IJCV), 2022
96*2022
Behavior planning of autonomous cars with social perception
L Sun, W Zhan, CY Chan, M Tomizuka
2019 IEEE Intelligent Vehicles Symposium (IV), 207-213, 2019
582019
BeTAIL: Behavior Transformer Adversarial Imitation Learning from Human Racing Gameplay
C Weaver, C Tang, C Hao, K Kawamoto, M Tomizuka, W Zhan
IEEE Robotics and Automation Letters, 2024
2024
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