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Existing Vision-Language models (VLMs) estimate either long-term trajectory waypoints or a set of control actions as a reactive solution for closed-loop planning based on their rich scene comprehension.
“LXMERT: Learning Cross-Modality Encoder Representations from Transformers”, 2019
Hao Tan and Mohit Bansal · 1908
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“Interpretable Goal-based Prediction and Planning for Autonomous Driving”, 2021
Stefano. Albrecht et al · 2002
Earlier work this paper cites.
Abbas Sadat et al · 2008
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“Optimal trajectory generation for dynamic street scenarios in a frenet frame”
Moritz Werling, Julius Ziegler, Sören Kammel and Sebastian Thrun · 2010
Earlier work this paper cites.
“Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation”, 2018
Liang-Chieh Chen et al · 2018
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“Differentiable convex optimization layers”
Akshay Agrawal et al · 2019
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“Talk2Car: Taking Control of Your Self-Driving Car”
Thierry Deruyttere et al · 2019
Earlier work this paper cites.
“nuscenes: A multimodal dataset for autonomous driving”
Holger Caesar et al · 2020
Earlier work this paper cites.
“End-to-End Object Detection with Transformers”, 2020
Nicolas Carion et al · 2020
Earlier work this paper cites.
“A Real-Time Cross-modality Correlation Filtering Method for Referring Expression Comprehension”, 2020
Yue Liao et al · 2020
Earlier work this paper cites.
“Improving One-stage Visual Grounding by Recursive Sub-query Construction”, 2020
Zhengyuan Yang, Tianlang Chen, Liwei Wang and Jiebo Luo · 2020
Cited alongside, same era.
“DC3: A learning method for optimization with hard constraints”
Priya Donti, David Rolnick and J Kolter · 2021
Cited alongside, same era.
“DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets”, 2021
Junru Gu, Chen Sun and Hang Zhao · 2021
Cited alongside, same era.
“Learning Transferable Visual Models From Natural Language Supervision”, 2021
Alec Radford et al · 2021
Cited alongside, same era.
“Grounding Linguistic Commands to Navigable Regions”
Nivedita Rufus et al · 2021
Cited alongside, same era.
“Interpretable Goal-Based model for Vehicle Trajectory Prediction in Interactive Scenarios”, 2023
Amina Ghoul, Itheri Yahiaoui, Anne Verroust-Blondet and Fawzi Nashashibi · 2023
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“Planning-oriented Autonomous Driving”
Yihan Hu et al · 2023
Later among the works it cites.
“Gpt-driver: Learning to drive with gpt”
Jiageng Mao, Yuxi Qian, Hang Zhao and Yue Wang · 2023
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“Languagempc: Large language models as decision makers for autonomous driving”
Hao Sha et al · 2023
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“Lmdrive: Closed-loop end-to-end driving with large language models”
Hao Shao et al · 2023
Later among the works it cites.
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Jiajun Deng et al · 2022
Cited alongside, same era.
“ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning”
Shengchao Hu et al · 2022
Cited alongside, same era.
“Theseus: A library for differentiable nonlinear optimization”
Luis Pineda et al · 2022
Cited alongside, same era.
“Driving with llms: Fusing object-level vector modality for explainable autonomous driving”
Long Chen et al · 2023
Cited alongside, same era.
“End-to-End Learning of Behavioural Inputs for Autonomous Driving in Dense Traffic”
Jatan Shrestha, Simon Idoko, Basant Sharma and Arun Singh · 2023
Later among the works it cites.
“Drivelm: Driving with graph visual question answering”
Chonghao Sima et al · 2023
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“Drivegpt4: Interpretable end-to-end autonomous driving via large language model”
Zhenhua Xu et al · 2023
Later among the works it cites.
“VLP: Vision Language Planning for Autonomous Driving”, 2024
Chenbin Pan et al · 2024
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