Juanwu Lu

According to our database, Juanwu Lu authored at least 17 papers between 2021 and 2025.

Collaborative distances:

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

2025

On Learning Closed-Loop Probabilistic Multi-Agent Simulator.

Juanwu Lu, Rohit Gupta, Ahmadreza Moradipari, Kyungtae Han, Ruqi Zhang, Ziran Wang

CoRR, August, 2025

A Hierarchical Test Platform for Vision Language Model (VLM)-Integrated Real-World Autonomous Driving.

Yupeng Zhou, Can Cui, Juntong Peng, Zichong Yang, Juanwu Lu, Jitesh H. Panchal, Bin Yao, Ziran Wang

CoRR, June, 2025

Inference Acceleration of Autoregressive Normalizing Flows by Selective Jacobi Decoding.

Jiaru Zhang, Juanwu Lu, Ziran Wang, Ruqi Zhang

CoRR, May, 2025

2024

REDFormer: Radar Enlightens the Darkness of Camera Perception With Transformers.

Can Cui, Yunsheng Ma, Juanwu Lu, Ziran Wang

IEEE Trans. Intell. Veh., January, 2024

Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Simulation, and Real-Vehicle Experiment.

Can Cui, Yunsheng Ma, Zichong Yang, Yupeng Zhou, Peiran Liu, Juanwu Lu, Lingxi Li, Yaobin Chen, Jitesh H. Panchal, Amr Abdelraouf, Rohit Gupta, Kyungtae Han, Ziran Wang

CoRR, 2024

MACP: Efficient Model Adaptation for Cooperative Perception.

Yunsheng Ma, Juanwu Lu, Can Cui, Sicheng Zhao, Xu Cao, Wenqian Ye, Ziran Wang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

A Survey on Multimodal Large Language Models for Autonomous Driving.

Can Cui, Yunsheng Ma, Xu Cao, Wenqian Ye, Yang Zhou, Kaizhao Liang, Jintai Chen, Juanwu Lu, Zichong Yang, Kuei-Da Liao, Tianren Gao, Erlong Li, Kun Tang, Zhipeng Cao, Tong Zhou, Ao Liu, Xinrui Yan, Shuqi Mei, Jianguo Cao, Ziran Wang, Chao Zheng

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

Personalized Autonomous Driving with Large Language Models: Field Experiments.

Can Cui, Zichong Yang, Yupeng Zhou, Yunsheng Ma, Juanwu Lu, Lingxi Li, Yaobin Chen, Jitesh H. Panchal, Ziran Wang

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs.

Yunsheng Ma, Can Cui, Xu Cao, Wenqian Ye, Peiran Liu, Juanwu Lu, Amr Abdelraouf, Rohit Gupta, Kyungtae Han, Aniket Bera, James M. Rehg, Ziran Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture.

Juanwu Lu, Can Cui, Yunsheng Ma, Aniket Bera, Ziran Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach.

Juanwu Lu, Wei Zhan, Masayoshi Tomizuka, Yeping Hu

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Large Language Models for Autonomous Driving: Real-World Experiments.

Can Cui, Zichong Yang, Yupeng Zhou, Yunsheng Ma, Juanwu Lu, Ziran Wang

CoRR, 2023

Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion.

Can Cui, Yunsheng Ma, Juanwu Lu, Ziran Wang

CoRR, 2023

Communication Optimization for Multi-agent Reinforcement Learning-based Traffic Control System with Explainable Protocol.

Han Wang, Haochen Wu, Juanwu Lu, Fang Tang, Maria Laura Delle Monache

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

Radar Enlightens the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion.

Can Cui, Yunsheng Ma, Juanwu Lu, Ziran Wang

Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

Generalizability Analysis of Graph-based Trajectory Predictor with Vectorized Representation.

Juanwu Lu, Wei Zhan, Masayoshi Tomizuka, Yeping Hu

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

An Automated Machine Learning (AutoML) Method for Driving Distraction Detection Based on Lane-Keeping Performance.

Chen Chai, Juanwu Lu, Xuan Jiang, Xiupeng Shi, Zeng Zeng

CoRR, 2021