ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2405.04390
  4. Cited By
DriveWorld: 4D Pre-trained Scene Understanding via World Models for
  Autonomous Driving

DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving

7 May 2024
Chen Min
Dawei Zhao
Liang Xiao
Jian-jun Zhao
Xinli Xu
Zheng Zhu
Lei Jin
Jianshu Li
Yulan Guo
Junliang Xing
Liping Jing
Yiming Nie
Bin Dai
    VGen
    VLM
ArXivPDFHTML

Papers citing "DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving"

4 / 4 papers shown
Title
FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving
Shuang Zeng
Xinyuan Chang
Mengwei Xie
Xinran Liu
Yifan Bai
Zheng Pan
Mu Xu
Xing Wei
LRM
58
0
0
23 May 2025
A Survey of World Models for Autonomous Driving
A Survey of World Models for Autonomous Driving
Tuo Feng
Wenguan Wang
Yue Yang
VGen
105
7
0
20 Jan 2025
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving
Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving
Yu Yang
Jianbiao Mei
Yukai Ma
Siliang Du
Wenqing Chen
Yijie Qian
Yuxiang Feng
Yong Liu
105
13
0
20 Jan 2025
Enhancing End-to-End Autonomous Driving with Latent World Model
Enhancing End-to-End Autonomous Driving with Latent World Model
Yingyan Li
Lue Fan
Jiawei He
Yuqi Wang
Yuntao Chen
Zhaoxiang Zhang
Tieniu Tan
93
16
0
12 Jun 2024
1