ADAPT: Action-aware Driving Caption Transformer-Reference-Cited by-同舟云学术

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ADAPT: Action-aware Driving Caption Transformer

Published:2023-05-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Robotics and Automation (ICRA)
language:
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Author:

Jin Bu¹,Liu Xinyu²,Zheng Yupeng¹,Li Pengfei³,Zhao Hao²,Zhang Tong⁴,Zheng Yuhang²,Zhou Guyue²,Liu Jingjing²

Affiliation:

1. Institute of Automation,Chinese Academy of Sciences,China

2. Institute for AI Industry Research (AIR), Tsinghua University,China

3. Tsinghua University,Department of Computer Science and Technology,China

4. Southern University of Science and Technology,China

Funder

Apollo-AIR Joint Research Center

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10160211/10160212/10160326.pdf?arnumber=10160326

Reference82 articles.

1. End-To-End Interpretable Neural Motion Planner

2. Distance-Aware Occlusion Detection With Focused Attention

3. Perceive, Attend, and Drive: Learning Spatial Attention for Safe Self-Driving

4. Diffusion-based generation, optimization, and planning in 3d scenes;huang;ArXiv Preprint,2023

5. Learning by cheating;chen;Conference on Robot Learning,2020

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1. Large models for intelligent transportation systems and autonomous vehicles: A survey;Advanced Engineering Informatics;2024-10

2. DriveGPT4: Interpretable End-to-End Autonomous Driving Via Large Language Model;IEEE Robotics and Automation Letters;2024-10

3. P-MapNet: Far-Seeing Map Generator Enhanced by Both SDMap and HDMap Priors;IEEE Robotics and Automation Letters;2024-10

4. TimelyTale: A Multimodal Dataset Approach to Assessing Passengers' Explanation Demands in Highly Automated Vehicles;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies;2024-08-22

5. Pix2Planning: End-to-End Planning by Vision-language Model for Autonomous Driving on Carla Simulator;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

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