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. 2309.05282
  4. Cited By
Can you text what is happening? Integrating pre-trained language
  encoders into trajectory prediction models for autonomous driving

Can you text what is happening? Integrating pre-trained language encoders into trajectory prediction models for autonomous driving

11 September 2023
Ali Keysan
Andreas Look
Eitan Kosman
Gonca Gürsun
Jörg Wagner
Yu Yao
Barbara Rakitsch
ArXivPDFHTML

Papers citing "Can you text what is happening? Integrating pre-trained language encoders into trajectory prediction models for autonomous driving"

25 / 25 papers shown
Title
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective
A Survey of Reinforcement Learning-Based Motion Planning for Autonomous Driving: Lessons Learned from a Driving Task Perspective
Zhuoren Li
Guizhe Jin
Ran Yu
Z. Chen
Nan I. Li
...
Lu Xiong
Bo Leng
Jia Hu
I. Kolmanovsky
Dimitar Filev
44
0
0
31 Mar 2025
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and Roadmap
Tong Nie
Jian-jun Sun
Wei Ma
58
1
0
27 Mar 2025
Embodied Scene Understanding for Vision Language Models via MetaVQA
Embodied Scene Understanding for Vision Language Models via MetaVQA
Weizhen Wang
Chenda Duan
Zhenghao Peng
Yuxin Liu
Bolei Zhou
LM&Ro
44
0
0
17 Jan 2025
Pedestrian motion prediction evaluation for urban autonomous driving
Pedestrian motion prediction evaluation for urban autonomous driving
Dmytro Zabolotnii
Yar Muhammad
Naveed Muhammad
26
0
0
22 Oct 2024
OccLLaMA: An Occupancy-Language-Action Generative World Model for
  Autonomous Driving
OccLLaMA: An Occupancy-Language-Action Generative World Model for Autonomous Driving
Julong Wei
Shanshuai Yuan
Pengfei Li
Qingda Hu
Zhongxue Gan
Wenchao Ding
VLM
19
17
0
05 Sep 2024
Asynchronous Large Language Model Enhanced Planner for Autonomous
  Driving
Asynchronous Large Language Model Enhanced Planner for Autonomous Driving
Yuan-Hsin Chen
Zi-han Ding
Ziqin Wang
Yan Wang
Lijun Zhang
Si Liu
61
9
0
20 Jun 2024
Generating and Evolving Reward Functions for Highway Driving with Large
  Language Models
Generating and Evolving Reward Functions for Highway Driving with Large Language Models
Xu Han
Qiannan Yang
Xianda Chen
Xiaowen Chu
Meixin Zhu
47
4
0
15 Jun 2024
Hard Cases Detection in Motion Prediction by Vision-Language Foundation
  Models
Hard Cases Detection in Motion Prediction by Vision-Language Foundation Models
Yi Yang
Qingwen Zhang
Kei Ikemura
Nazre Batool
John Folkesson
VLM
25
1
0
31 May 2024
SemanticFormer: Holistic and Semantic Traffic Scene Representation for
  Trajectory Prediction using Knowledge Graphs
SemanticFormer: Holistic and Semantic Traffic Scene Representation for Trajectory Prediction using Knowledge Graphs
Zhigang Sun
Zixu Wang
Lavdim Halilaj
J. Luettin
23
4
0
30 Apr 2024
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art
Neeloy Chakraborty
Melkior Ornik
Katherine Driggs-Campbell
LRM
52
9
0
25 Mar 2024
Embodied Understanding of Driving Scenarios
Embodied Understanding of Driving Scenarios
Yunsong Zhou
Linyan Huang
Qingwen Bu
Jia Zeng
Tianyu Li
Hang Qiu
Hongzi Zhu
Minyi Guo
Yu Qiao
Hongyang Li
LM&Ro
44
30
0
07 Mar 2024
A Survey for Foundation Models in Autonomous Driving
A Survey for Foundation Models in Autonomous Driving
Haoxiang Gao
Yaqian Li
Kaiwen Long
Ming Yang
Yiqing Shen
VLM
LRM
53
22
0
02 Feb 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models
Weijiao Zhang
Jindong Han
Zhao Xu
Hang Ni
Hao Liu
Hui Xiong
Hui Xiong
AI4CE
77
14
0
30 Jan 2024
Prospective Role of Foundation Models in Advancing Autonomous Vehicles
Prospective Role of Foundation Models in Advancing Autonomous Vehicles
Jianhua Wu
B. Gao
Jincheng Gao
Jianhao Yu
Hongqing Chu
...
Xun Gong
Yi Chang
H. E. Tseng
Hong Chen
Jie Chen
31
3
0
08 Dec 2023
Towards Knowledge-driven Autonomous Driving
Towards Knowledge-driven Autonomous Driving
Xin Li
Yeqi Bai
Pinlong Cai
Licheng Wen
Daocheng Fu
...
Yikang Li
Botian Shi
Yong-Jin Liu
Liang He
Yu Qiao
32
26
0
07 Dec 2023
Empowering Autonomous Driving with Large Language Models: A Safety
  Perspective
Empowering Autonomous Driving with Large Language Models: A Safety Perspective
Yixuan Wang
Ruochen Jiao
Sinong Simon Zhan
Chengtian Lang
Chao Huang
Zhaoran Wang
Zhuoran Yang
Qi Zhu
16
26
0
28 Nov 2023
A Survey on Multimodal Large Language Models for Autonomous Driving
A Survey on Multimodal Large Language Models for Autonomous Driving
Can Cui
Yunsheng Ma
Xu Cao
Wenqian Ye
Yang Zhou
...
Xinrui Yan
Shuqi Mei
Jianguo Cao
Ziran Wang
Chao Zheng
27
248
0
21 Nov 2023
Applications of Large Scale Foundation Models for Autonomous Driving
Applications of Large Scale Foundation Models for Autonomous Driving
Yu Huang
Yue Chen
Zhu Li
ELM
AI4CE
LRM
ALM
LM&Ro
46
14
0
20 Nov 2023
LLM4Drive: A Survey of Large Language Models for Autonomous Driving
LLM4Drive: A Survey of Large Language Models for Autonomous Driving
Zhenjie Yang
Xiaosong Jia
Hongyang Li
Junchi Yan
ELM
24
92
0
02 Nov 2023
Vision Language Models in Autonomous Driving: A Survey and Outlook
Vision Language Models in Autonomous Driving: A Survey and Outlook
Xingcheng Zhou
Mingyu Liu
Ekim Yurtsever
B. L. Žagar
Walter Zimmer
Hu Cao
Alois C. Knoll
VLM
15
33
0
22 Oct 2023
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving
Hao Sha
Yao Mu
Yuxuan Jiang
Li Chen
Chenfeng Xu
Ping Luo
Shengbo Eben Li
Masayoshi Tomizuka
Wei Zhan
Mingyu Ding
105
154
0
04 Oct 2023
Cheap and Deterministic Inference for Deep State-Space Models of
  Interacting Dynamical Systems
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems
Andreas Look
M. Kandemir
Barbara Rakitsch
Jan Peters
BDL
25
6
0
02 May 2023
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
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
0
18 Apr 2021
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
39,083
0
01 Sep 2014
1