HaoranZhuExplorer/World-Models-Autonomous-Driving-Survey
A curated list of world models for autonomous driving.
This list compiles research papers focused on "world models" for autonomous driving, which are AI systems that learn to predict how the world around a self-driving car will behave. It helps researchers and engineers in autonomous vehicle development stay current with the latest advancements in predicting driving environments. You'll find a curated collection of papers, including what data they use (like LiDAR or visual inputs) and what they produce (like future occupancy predictions or driving behaviors).
498 stars.
Use this if you are a researcher or engineer working on autonomous driving systems and need to explore the cutting-edge of world models for perception, prediction, and planning.
Not ideal if you are a casual reader looking for an introduction to autonomous driving basics or a consumer interested in commercial self-driving car features.
Stars
498
Forks
23
Language
—
License
—
Category
Last pushed
Dec 23, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/HaoranZhuExplorer/World-Models-Autonomous-Driving-Survey"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Compare
Higher-rated alternatives
galilai-group/stable-worldmodel
Reliable, minimal and scalable library for evaluating and conducting world model research
NM512/dreamerv3-torch
Implementation of Dreamer v3 in pytorch.
danijar/dreamerv2
Mastering Atari with Discrete World Models
danijar/dreamerv3
Mastering Diverse Domains through World Models
leofan90/Awesome-World-Models
A comprehensive list of papers for the definition of World Models and using World Models for...