Daocheng Fu

According to our database1, Daocheng Fu authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Human-Like Decision Making at Unsignalized Intersections Using Social Value Orientation.
IEEE Intell. Transp. Syst. Mag., 2024

OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving.
CoRR, 2024

LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving.
CoRR, 2024

Drive Like a Human: Rethinking Autonomous Driving with Large Language Models.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

2023
AccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model.
CoRR, 2023

Towards Knowledge-driven Autonomous Driving.
CoRR, 2023

On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving.
CoRR, 2023

DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models.
CoRR, 2023

TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Models.
CoRR, 2023

TrafficMCTS: A Closed-Loop Traffic Flow Generation Framework with Group-Based Monte Carlo Tree Search.
CoRR, 2023

Human-like Decision-making at Unsignalized Intersection using Social Value Orientation.
CoRR, 2023

LimSim: A Long-Term Interactive Multi-Scenario Traffic Simulator.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Bringing Diversity to Autonomous Vehicles: An Interpretable Multi-vehicle Decision-making and Planning Framework.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Traffic signal optimization for partially observable traffic system and low penetration rate of connected vehicles.
Comput. Aided Civ. Infrastructure Eng., 2022

2020
Modeling Arterial Traffic Dynamics With Actuated Signal Control Using a Simplified Shockwave Model.
IEEE Trans. Intell. Transp. Syst., 2020


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