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Tokenize the World into Object-level Knowledge to Address Long-tail
  Events in Autonomous Driving

Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving

1 July 2024
Ran Tian
Boyi Li
Xinshuo Weng
Yuxiao Chen
Edward Schmerling
Yue Wang
B. Ivanovic
Marco Pavone
ArXivPDFHTML

Papers citing "Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving"

14 / 14 papers shown
Title
Position: Foundation Models Need Digital Twin Representations
Position: Foundation Models Need Digital Twin Representations
Yiqing Shen
Hao Ding
Lalithkumar Seenivasan
Tianmin Shu
Mathias Unberath
AI4CE
31
0
0
01 May 2025
Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Models Using Implicit Feedback from Pre-training Demonstrations
Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Models Using Implicit Feedback from Pre-training Demonstrations
Ran Tian
Kratarth Goel
41
0
0
25 Mar 2025
Predicting the Road Ahead: A Knowledge Graph based Foundation Model for Scene Understanding in Autonomous Driving
Predicting the Road Ahead: A Knowledge Graph based Foundation Model for Scene Understanding in Autonomous Driving
Hongkuan Zhou
Stefan Schmid
Yicong Li
Lavdim Halilaj
Xiangtong Yao
Wei Cao
52
0
0
24 Mar 2025
Scaling LLM Pre-training with Vocabulary Curriculum
Scaling LLM Pre-training with Vocabulary Curriculum
Fangyuan Yu
62
1
0
25 Feb 2025
A Survey of World Models for Autonomous Driving
A Survey of World Models for Autonomous Driving
Tuo Feng
Wenguan Wang
Y. Yang
VGen
72
5
0
20 Jan 2025
LEO: Boosting Mixture of Vision Encoders for Multimodal Large Language Models
LEO: Boosting Mixture of Vision Encoders for Multimodal Large Language Models
Mozhgan Nasr Azadani
James Riddell
Sean Sedwards
Krzysztof Czarnecki
MLLM
VLM
41
2
0
13 Jan 2025
Video Token Sparsification for Efficient Multimodal LLMs in Autonomous
  Driving
Video Token Sparsification for Efficient Multimodal LLMs in Autonomous Driving
Yunsheng Ma
Amr Abdelraouf
Rohit Gupta
Ziran Wang
Kyungtae Han
21
3
0
16 Sep 2024
OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning
OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning
Shihao Wang
Zhiding Yu
Xiaohui Jiang
Shiyi Lan
Min Shi
Nadine Chang
Jan Kautz
Ying Li
Jose M. Alvarez
LRM
34
47
0
02 May 2024
Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?
Can Vehicle Motion Planning Generalize to Realistic Long-tail Scenarios?
Marcel Hallgarten
Julian Zapata
Martin Stoll
Katrin Renz
Andreas Zell
27
10
0
11 Apr 2024
DriveVLM: The Convergence of Autonomous Driving and Large
  Vision-Language Models
DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models
Xiaoyu Tian
Junru Gu
Bailin Li
Yicheng Liu
Yang Wang
Chenxu Hu
Kun Zhan
Peng Jia
Xianpeng Lang
Hang Zhao
VLM
65
122
0
19 Feb 2024
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
244
4,186
0
30 Jan 2023
Safety Assurances for Human-Robot Interaction via Confidence-aware
  Game-theoretic Human Models
Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models
Ran Tian
Liting Sun
Andrea V. Bajcsy
M. Tomizuka
Anca Dragan
40
55
0
29 Sep 2021
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey
  of Emerging Trends
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends
Q. Rahman
Peter Corke
Feras Dayoub
OOD
21
51
0
05 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
1