Skip to content
View zijinoier's full-sized avatar
:octocat:
:octocat:
107 followers · 84 following

Achievements

Achievement: Starstruckx2Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Starstruckx2Achievement: Pull SharkAchievement: Arctic Code Vault Contributor

Organizations

@ZJU-RoboCup @APRIL-ZJU

Block or report zijinoier

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
zijinoier/README.md

Good day, Universe 👋

About me

  • 👨‍🎓 I received an M.S. degree from Zhejiang Universiy, major at robotics.
  • 🔬 My current research interest including autonomous driving, multi-agent system, and emobodied AI.
  • 📝 More about me please check my website.

Platform&Tools

Pinned Loading

  1. PJLab-ADG/DiLu PJLab-ADG/DiLu Public

    [ICLR 2024] DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

    Python 229 16

  2. PJLab-ADG/DriveLikeAHuman PJLab-ADG/DriveLikeAHuman Public

    Drive Like a Human: Rethinking Autonomous Driving with Large Language Models

    Python 368 34

  3. PJLab-ADG/LimSim PJLab-ADG/LimSim Public

    LimSim & LimSim++: Integrated traffic and autonomous driving simulators with (M)LLM support

    Python 435 37

  4. APRIL-ZJU/CL-CBS APRIL-ZJU/CL-CBS Public

    An Efficient Multi-Agent Path Finding Solver for Car-Like Robots

    C++ 344 82

  5. PJLab-ADG/DriveArena PJLab-ADG/DriveArena Public

    DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving

    Python 264 18

  6. PJLab-ADG/GPT4V-AD-Exploration PJLab-ADG/GPT4V-AD-Exploration Public

    On the Road with GPT-4V(ision): Explorations of Utilizing Visual-Language Model as Autonomous Driving Agent

    288 15