Juanwu Lu
Orcid: 0000-0003-0831-1244
According to our database1,
Juanwu Lu authored at least 20 papers
between 2021 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
2025
SIMSplat: Predictive Driving Scene Editing with Language-aligned 4D Gaussian Splatting.
CoRR, October, 2025
A Hierarchical Test Platform for Vision Language Model (VLM)-Integrated Real-World Autonomous Driving.
CoRR, June, 2025
Inference Acceleration of Autoregressive Normalizing Flows by Selective Jacobi Decoding.
CoRR, May, 2025
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2025
2024
IEEE Trans. Intell. Veh., January, 2024
Large Language Models for Autonomous Driving (LLM4AD): Concept, Benchmark, Simulation, and Real-Vehicle Experiment.
CoRR, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024
Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024
LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion.
CoRR, 2023
Communication Optimization for Multi-agent Reinforcement Learning-based Traffic Control System with Explainable Protocol.
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.
Proceedings of the 26th IEEE International Conference on Intelligent Transportation Systems, 2023
2022
Generalizability Analysis of Graph-based Trajectory Predictor with Vectorized Representation.
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.
CoRR, 2021