自动驾驶

FusDreamer: Label-efficient Remote Sensing World Model for Multimodal Data Classification

Jinping Wang, Weiwei Song, Hao Chen, Jinchang Ren, Huimin Zhao

专题命中 端到端驾驶 ：LiDAR(abstract)；分类 cs.CV

Unlock the Power of Unlabeled Data in Language Driving Model

Chaoqun Wang, Jie Yang, Xiaobin Hong, Ruimao Zhang

专题命中 端到端驾驶 ：autonomous driving(abstract)；分类 cs.CV

Comments Accepted by ICRA2025

Embodied Escaping: End-to-End Reinforcement Learning for Robot Navigation in Narrow Environment

Han Zheng, Jiale Zhang, Mingyang Jiang, Peiyuan Liu, Danni Liu, Tong Qin, Ming Yang

专题命中 端到端驾驶 ：LiDAR(abstract)；分类 cs.RO

ARCON: Advancing Auto-Regressive Continuation for Driving Videos

Ruibo Ming, Jingwei Wu, Zhewei Huang, Zhuoxuan Ju, Jianming HU, Lihui Peng, Shuchang Zhou

专题命中 端到端驾驶 ：autonomous driving(abstract)；分类 cs.CV

MaskGWM: A Generalizable Driving World Model with Video Mask Reconstruction

Jingcheng Ni, Yuxin Guo, Yichen Liu, Rui Chen, Lewei Lu, Zehuan Wu

专题命中 端到端驾驶 ：autonomous driving(abstract)；分类 cs.CV

A Survey on Context-Aware Multi-Agent Systems: Techniques, Challenges and Future Directions

Hung Du, Srikanth Thudumu, Rajesh Vasa, Kon Mouzakis

专题命中 端到端驾驶 ：autonomous driving(abstract)；分类 cs.AI

Comments 11 pages, 1 figure

E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection

Jiaqing Zhang, Mingxiang Cao, Weiying Xie, Jie Lei, Daixun Li, Wenbo Huang, Yunsong Li, Xue Yang

专题命中 端到端驾驶 ：autonomous driving(abstract)；分类 cs.CV

End-to-end Generative Spatial-Temporal Ultrasonic Odometry and Mapping Framework

Fuhua Jia, Xiaoying Yang, Mengshen Yang, Yang Li, Hang Xu, Adam Rushworth, Salman Ijaz, Heng Yu, Tianxiang Cui

专题命中 端到端驾驶 ：LiDAR(abstract)；分类 cs.RO

Comments 5 pages, 4 figures and 1 table

InfinityDrive: Breaking Time Limits in Driving World Models

Xi Guo, Chenjing Ding, Haoxuan Dou, Xin Zhang, Weixuan Tang, Wei Wu

专题命中 端到端驾驶 ：autonomous driving(abstract)；分类 cs.CV

Comments project homepage: https://metadrivescape.github.io/papers_project/InfinityDrive/page.html

PEERNet: An End-to-End Profiling Tool for Real-Time Networked Robotic Systems

Aditya Narayanan, Pranav Kasibhatla, Minkyu Choi, Po-han Li, Ruihan Zhao, Sandeep Chinchali

专题命中 端到端驾驶 ：self-driving(abstract)；分类 cs.RO

Comments Accepted at IROS 2024

D$^2$-World: An Efficient World Model through Decoupled Dynamic Flow

Haiming Zhang, Xu Yan, Ying Xue, Zixuan Guo, Shuguang Cui, Zhen Li, Bingbing Liu

专题命中 端到端驾驶 ：occupancy(abstract)；分类 cs.CV

Comments The 2nd Place and Innovation Award Solution of Predictive World Model at the CVPR 2024 Autonomous Grand Challenge

DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Guosheng Zhao, Chaojun Ni, Xiaofeng Wang, Zheng Zhu, Xueyang Zhang, Yida Wang, Guan Huang, Xinze Chen, Boyuan Wang, Youyi Zhang, Wenjun Mei, Xingang Wang

专题命中 端到端驾驶 ：autonomous driving(abstract)；分类 cs.CV

Comments Project Page: https://drivedreamer4d.github.io

Guided Learning: Lubricating End-to-End Modeling for Multi-stage Decision-making

Jian Guo, Saizhuo Wang, Yiyan Qi

专题命中 端到端驾驶 ：autonomous driving(abstract)；分类 cs.AI

Real-time experiment-theory closed-loop interaction for autonomous materials science

Haotong Liang, Chuangye Wang, Heshan Yu, Dylan Kirsch, Rohit Pant, Austin McDannald, A. Gilad Kusne, Ji-Cheng Zhao, Ichiro Takeuchi

专题命中 端到端驾驶 ：self-driving(abstract)；分类 cs.RO

Study on the Helpfulness of Explainable Artificial Intelligence

Tobias Labarta, Elizaveta Kulicheva, Ronja Froelian, Christian Geißler, Xenia Melman, Julian von Klitzing

专题命中 端到端驾驶 ：autonomous driving(abstract)；分类 cs.AI

Comments World Conference on Explainable Artificial Intelligence

Journal ref Longo, L., Lapuschkin, S., Seifert, C. (eds) Explainable Artificial Intelligence. xAI 2024. Communications in Computer and Information Science, vol 2156

Enhancing Safety for Autonomous Agents in Partly Concealed Urban Traffic Environments Through Representation-Based Shielding

Pierre Haritz, David Wanke, Thomas Liebig

专题命中 端到端驾驶 ：self-driving(abstract)；分类 cs.RO

DRL-Based RAT Selection in a Hybrid Vehicular Communication Network

Badreddine Yacine Yacheur, Toufik Ahmed, Mohamed Mosbah

专题命中 端到端驾驶 ：autonomous driving(abstract)；分类 cs.AI

Journal ref 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), Jun 2023, Florence, Italy. pp.1-5

Deep-learning-driven end-to-end metalens imaging

Joonhyuk Seo, Jaegang Jo, Joohoon Kim, Joonho Kang, Chanik Kang, Seongwon Moon, Eunji Lee, Jehyeong Hong, Junsuk Rho, Haejun Chung

专题命中 端到端驾驶 ：LiDAR(abstract)；分类 eess.IV

Comments 17 pages, 7 figures, 1 table

On the Road to Clarity: Exploring Explainable AI for World Models in a Driver Assistance System

Mohamed Roshdi, Julian Petzold, Mostafa Wahby, Hussein Ebrahim, Mladen Berekovic, Heiko Hamann

专题命中 端到端驾驶 ：autonomous driving(abstract)；分类 cs.CV

Comments 8 pages, 6 figures, to be published in IEEE CAI 2024

Bird's Eye View Based Pretrained World model for Visual Navigation

Kiran Lekkala, Chen Liu, Laurent Itti

专题命中 端到端驾驶 ：BEV(abstract)；分类 cs.RO

Comments Under Review at the IROS 2024; Accepted at NeurIPS 2023, Robot Learning Workshop

Pre-trained Transformer-Enabled Strategies with Human-Guided Fine-Tuning for End-to-end Navigation of Autonomous Vehicles

Dong Hu, Chao Huang, Jingda Wu, Hongbo Gao

专题命中 端到端驾驶 ：autonomous driving(abstract)；分类 cs.RO

Comments 11 pages, 7 figures, references added

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

专题命中 端到端驾驶 ：autonomous driving(abstract)；分类 cs.CV

Comments 43 pages, 16 figures

When Demonstrations Meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning

Siliang Zeng, Chenliang Li, Alfredo Garcia, Mingyi Hong

专题命中 端到端驾驶 ：autonomous driving(abstract)；分类 cs.AI

EffLoc: Lightweight Vision Transformer for Efficient 6-DOF Camera Relocalization

Zhendong Xiao, Changhao Chen, Shan Yang, Wu Wei

专题命中 端到端驾驶 ：autonomous driving(abstract)；分类 cs.CV

Comments 8 pages, 6 figures, ICRA 2024 accepted

Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming

Minjae Cho, Chuangchuang Sun

专题命中 端到端驾驶 ：autonomous driving(abstract)；分类 cs.AI

TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs

Haotian Tang, Shang Yang, Zhijian Liu, Ke Hong, Zhongming Yu, Xiuyu Li, Guohao Dai, Yu Wang, Song Han

专题命中 端到端驾驶 ：autonomous driving(abstract)；分类 cs.CV

Comments MICRO 2023; Haotian Tang and Shang Yang contributed equally to this project

Learning Visibility Field for Detailed 3D Human Reconstruction and Relighting

Ruichen Zheng, Peng Li, Haoqian Wang, Tao Yu

专题命中 端到端驾驶 ：occupancy(abstract)；分类 cs.CV

Comments 8 pages, 10 figures, published to CVPR2023

Active Probing and Influencing Human Behaviors Via Autonomous Agents

Shuangge Wang, Yiwei Lyu, John M. Dolan

专题命中 端到端驾驶 ：autonomous driving(abstract)；分类 cs.RO

Comments 2023 IEEE International Conference on Robotics and Automation (ICRA)

End-to-End Policy Gradient Method for POMDPs and Explainable Agents

Soichiro Nishimori, Sotetsu Koyamada, Shin Ishii

专题命中 端到端驾驶 ：autonomous driving(abstract)；分类 cs.AI

Comments 10 pagee, 6 figures

iDisc: Internal Discretization for Monocular Depth Estimation

Luigi Piccinelli, Christos Sakaridis, Fisher Yu

专题命中 端到端驾驶 ：autonomous driving(abstract)；分类 cs.CV

Comments Accepted at CVPR 2023