自动驾驶 - arXivDaily 专题

2511.03220 2026-02-12 eess.SP 50%

Multimodal-Wireless: A Large-Scale Dataset for Sensing and Communication

多模态无线：一种大规模数据集用于传感与通信

Tianhao Mao, Le Liang, Jie Yang, Hao Ye, Shi Jin, Geoffrey Ye Li

专题命中仿真评测：LiDAR(abstract)

AI总结本文提出多模态无线数据集，用于多模态传感与通信研究，包含高分辨率CSI与多种传感器数据，支持通信与协同感知应用。

2412.08794 2026-02-11 cs.LG stat.ML 50%

Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning

潜在安全约束策略方法用于安全离线强化学习

Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, Cody Fleming

机构 * Iowa State University（爱荷华州立大学）

专题命中仿真评测：autonomous driving(abstract)

AI总结本文提出了一种潜在安全约束策略方法，通过条件变分自动编码器和受约束奖励-回报最大化框架，实现了安全离线强化学习中的安全性和奖励优化的平衡。

Journal ref International Conference on Learning Representations (ICLR), 2025

2507.11589 2026-02-10 cs.LG gr-qc 50%

Einstein Fields: A Neural Perspective To Computational General Relativity

爱因斯坦场：从计算广义相对论的角度看神经网络

Sandeep Suresh Cranganore, Andrei Bodnar, Arturs Berzins, Johannes Brandstetter

机构 * LIT AI Lab, Institute for Machine Learning, JKU Linz, Austria（LIT AI实验室，机器学习研究所，JKU林茨，奥地利）； University of Manchester, United Kingdom（曼彻斯特大学，英国）； Emmi AI GmbH, Linz, Austria（Emmi AI GmbH，林茨，奥地利）

专题命中仿真评测：occupancy(abstract)

AI总结爱因斯坦场通过神经网络方法实现四维时空的高效建模，提升计算效率和精度，推动数值相对论的发展。

Comments Accepted at ICLR 2026: 64 pages, 23 figures, 14 Tables, Github: https://github.com/AndreiB137/EinFields, added (i) EinFields applied to Oscillating neutron star NR simulation using Fixed Mesh Refinement (FMR) for four refinement levels from EinsteinToolkit, (ii) Jit-based query speeds of EinFields and its derivative over 17 Million simulation grid points, (iii) Bianchi Identity values

Journal ref The Fourteenth International Conference on Learning Representations 2026

2602.04164 2026-02-05 cs.ET stat.AP stat.CO stat.OT 50%

The Dynamics of Attention across Automated and Manual Driving Modes: A Driving Simulation Study

自动驾驶与手动驾驶模式下注意力动态研究：驾驶模拟研究

Yuan Cai, Mustafa Demir, Farzan Sasangohar, Mohsen Zare

专题命中仿真评测：autonomous driving(abstract)

AI总结研究通过驾驶模拟分析不同驾驶模式下驾驶员注意力动态，揭示注意力分配依赖于驾驶模式，为自适应HMI设计和安全提升提供依据。

2601.06971 2026-02-03 cond-mat.mtrl-sci 50%

Data-driven active learning approaches for accelerating materials discovery

数据驱动的主动学习方法用于加速材料发现

Jiaxin Chen, Tianjiao Wan, Hui Geng, Liang Xiong, Guohong Wang, Yihan Zhao, Longxiang Deng, Zijian Gao, Susu Fang, Zheng Luo, Huaimin Wang, Shanshan Wang, Kele Xu

专题命中仿真评测：self-driving(abstract)

AI总结本文综述了数据驱动的主动学习方法在加速材料发现中的应用，探讨了其在不同数据环境下的效率提升及未来发展方向。

2504.14539 2026-02-02 cs.HC 50%

Should Benevolent Deception be Allowed in EHMI? A Mechanism Explanation Based on Game Theory

在EHMI中应允许善意欺骗吗？基于博弈论的机制解释

Linkun Liu, Jian Sun, Ye Tian

专题命中仿真评测：autonomous driving(abstract)

AI总结本研究基于博弈论探讨了在自动驾驶中允许善意欺骗的合理性，通过实验发现欺骗在特定情况下可提升交互安全性。

Comments The paper is accepted by IEEE Transactions on Intelligent Transportation Systems

2512.22583 2026-01-27 cond-mat.soft 50%

Dissociation Line and Driving Force for Nucleation of the Multiple Occupied Hydrogen Hydrate from Computer Simulation

多占据氢水合物核化 dissociation 线及驱动力

Miguel J. Torrejon, S. Blazquez, Jesus Algaba, M. M. Conde, F. J. Blas

专题命中仿真评测：occupancy(abstract)

AI总结本研究通过计算方法确定了氢气水合物在185 MPa下的解离温度，并分析了其核化驱动力与过冷程度及占据状态的关系。

Journal ref Energy & Fuels 39, 15184 (2025)

2601.05946 2026-01-12 cond-mat.mtrl-sci cs.LG 50%

A Critical Examination of Active Learning Workflows in Materials Science

对材料科学中主动学习工作流的批判性审视

Akhil S. Nair, Lucas Foppa

机构 * The NOMAD Laboratory at the Fritz Haber Institute of the Max Planck Society（弗里茨·哈伯研究所的NOMAD实验室）

专题命中仿真评测：self-driving(abstract)

AI总结本文批判性地评估了材料科学中主动学习工作流的设计与性能，探讨关键设计选择对工作流效果的影响，并提供实践指导。

2601.03621 2026-01-08 cs.SE 50%

On the Robustness of Fairness Practices: A Causal Framework for Systematic Evaluation

关于公平实践的鲁棒性：一种系统评估的因果框架

Verya Monjezi, Ashish Kumar, Ashutosh Trivedi, Gang Tan, Saeid Tizpaz-Niari

专题命中仿真评测：autonomous driving(abstract)

AI总结本文提出一种因果框架，用于系统评估公平实践的鲁棒性，探讨其在数据不完美情况下的有效性。

2512.23745 2026-01-01 cs.LG cs.SE 50%

A Comprehensive Study of Deep Learning Model Fixing Approaches

深度学习模型修复方法的全面研究

Hanmo You, Zan Wang, Zishuo Dong, Luanqi Mo, Jianjun Zhao, Junjie Chen

机构 * College of Intelligence and Computing, Tianjin University（智能与计算学院，天津大学）； Kyushu University（九州大学）

专题命中仿真评测：autonomous driving(abstract)

AI总结本文全面研究了深度学习模型修复方法，评估了不同层级方法的修复效果及对鲁棒性、公平性等属性的影响，指出模型级方法更优，但需关注副作用问题。

2512.23605 2025-12-30 cs.SE 50%

Parallelized Code Generation from Simulink Models for Event-driven and Timer-driven ROS 2 Nodes

基于Simulink模型的并行代码生成用于事件驱动和定时驱动的ROS 2节点

Kenshin Obi, Ryo Yoshinaka, Hiroshi Fujimoto, Takuya Azumi

专题命中仿真评测：autonomous driving(abstract)

AI总结本文提出了一种基于MBD的框架，用于实现事件驱动和定时驱动的ROS 2节点的并行代码生成，解决了多输入场景下的并行化问题。

Journal ref Proceedings of the 50th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 2024, pp. 48-55

2510.19816 2025-12-23 physics.atom-ph cond-mat.quant-gas quant-ph 50%

Single Sr Atoms in Optical Tweezer Arrays for Quantum Simulation

用于量子模拟的单个锶原子在光学镊子阵列中

Veronica Giardini, Luca Guariento, Andrea Fantini, Shawn Storm, Massimo Inguscio, Jacopo Catani, Giacomo Cappellini, Vladislav Gavryusev, Leonardo Fallani

专题命中仿真评测：occupancy(abstract)

AI总结该研究实现了用于量子模拟的单个锶原子在光学镊子阵列中的高效捕获、冷却和高保真度检测，为可扩展的量子模拟和信息处理奠定了基础。

Comments Version of record as published in MDPI Atoms 14 (1), 1 (2026)

Journal ref Atoms 2026, 14(1), 1

2510.13279 2025-12-23 eess.SY cs.SY 50%

Partitioned Scheduling for DAG Tasks Considering Probabilistic Execution Time

考虑概率执行时间的DAG任务分区调度

Fuma Omori, Atsushi Yano, Takuya Azumi

专题命中仿真评测：autonomous driving(abstract)

AI总结本文提出了一种考虑概率执行时间的DAG任务分区调度方法，通过利用单处理器概率保证结果，提高了任务集的调度效率和分析性能。

Journal ref 2025 IEEE International Conference on High Performance Computing and Communications (HPCC), Exeter, United Kingdom, 2025, pp. 1-10

2509.00456 2025-12-15 physics.chem-ph cond-mat.mtrl-sci quant-ph 50%

A Further Comparison of MPS and TTNS for Nonadiabatic Dynamics of Exciton Dissociation

进一步比较MPS和TTNS用于激发子解离的非绝热动力学

Weitang Li, Jiajun Ren, Jun Yan

专题命中仿真评测：occupancy(abstract)

AI总结本文通过比较MPS和TTNS在非绝热动力学中模拟激发子解离的性能，发现结合维度不足是导致不一致的主要原因，并通过优化TTNS结构提高了计算精度。

2511.21782 2025-12-01 physics.soc-ph cs.CY cs.MA 50%

CompARE: A Computational framework for Airborne Respiratory disease Evaluation integrating flow physics and human behavior

CompARE：用于空中呼吸系统疾病评估的计算框架，整合流体动力学和人类行为

Fong Yew Leong, Jaeyoung Kwak, Zhengwei Ge, Chin Chun Ooi, Siew-Wai Fong, Matthew Zirui Tay, Hua Qian, Chang Wei Kang, Wentong Cai, Hongying Li

专题命中仿真评测：occupancy(abstract)

AI总结 CompARE框架整合流体动力学与人类行为，揭示室内空气传播疾病风险的双峰分布，通过CFD、ML和ABM分析，提供通风设计和社交距离政策的量化见解。

2111.03201 2025-11-25 cs.LG eess.SP 50%

Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models

利用深度生成模型压缩传感器数据以实现自动驾驶车辆的远程协助

Daniel Bogdoll, Johannes Jestram, Jonas Rauch, Christin Scheib, Moritz Wittig, J. Marius Zöllner

专题命中仿真评测：LiDAR(abstract)

AI总结本文提出利用深度生成模型压缩传感器数据，以提高自动驾驶车辆在需要远程协助时的数据传输效率和重建质量。

Comments Daniel Bogdoll, Johannes Jestram, Jonas Rauch, Christin Scheib and Moritz Wittig contributed equally. Accepted for publication at NeurIPS 2021 ML4AD Workshop

2511.04267 2025-11-07 cs.SE 50%

A Tool for Benchmarking Large Language Models' Robustness in Assessing the Realism of Driving Scenarios

Jiahui Wu, Chengjie Lu, Aitor Arrieta, Shaukat Ali

专题命中仿真评测：autonomous driving(abstract)

2412.05630 2025-10-20 cs.CE 50%

Dislocation-based crystal plasticity simulation on grain-size dependence of mechanical properties in dual-phase steels

Misato Suzuki, Mayu Muramatsu, Kazuyuki Shizawa

专题命中仿真评测：occupancy(abstract)

Comments 16 pages, 14figures

Journal ref Int. J. Solids Struct., Volume 323, 113634, 2025

2510.14115 2025-10-17 cs.SE cs.LG 50%

David vs. Goliath: A comparative study of different-sized LLMs for code generation in the domain of automotive scenario generation

Philipp Bauerfeind, Amir Salarpour, David Fernandez, Pedram MohajerAnsari, Johannes Reschke, Mert D. Pesé

机构 * Clemson University（克莱姆森大学）

专题命中仿真评测：autonomous driving(abstract)

2509.15815 2025-09-29 cs.LG cs.SE 50%

GPU Temperature Simulation-Based Testing for In-Vehicle Deep Learning Frameworks

Yinglong Zou, Juan Zhai, Chunrong Fang, Zhenyu Chen

机构 * State Key Laboratory for Novel Software Technology Nanjing University China（新型软件技术国家重点实验室南京大学中国）； University of Massachusetts Amherst United States（马萨诸塞大学阿姆赫斯特分校美国）

专题命中仿真评测：autonomous driving(abstract)

2509.15251 2025-09-22 physics.soc-ph nlin.AO 50%

A Social Force Model for Companion Groups Considering Relative-Weight Attraction

Lihui Dong, Yingshuang He, Yunfeng Deng, Qiuyu Zheng, Tianming Wang

专题命中仿真评测：self-driving(abstract)

2410.15361 2025-09-04 stat.ML cs.LG 50%

A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators

Han Zhou, Jordy Van Landeghem, Teodora Popordanoska, Matthew B. Blaschko

机构 * Department of Electrical Engineering, KU Leuven, Belgium（电气工程系，卢森堡大学）

专题命中仿真评测：autonomous driving(abstract)

2508.16376 2025-09-03 cs.AR 50%

RIROS: A Parallel RTL Fault SImulation FRamework with TwO-Dimensional Parallelism and Unified Schedule

Jiaping Tang, Jianan Mu, Zizhen Liu, Ge Yu, Tenghui Hua, Bin Sun, Silin Liu, Jing Ye, Huawei Li

专题命中仿真评测：autonomous driving(abstract)

Comments Accepted by ICCAD 2025

2508.17880 2025-08-26 cs.HC 50%

TRUCE-AV: A Multimodal dataset for Trust and Comfort Estimation in Autonomous Vehicles

Aditi Bhalla, Christian Hellert, Enkelejda Kasneci, Nastassja Becker

专题命中仿真评测：autonomous driving(abstract)

2405.13239 2025-07-31 q-bio.PE math.DS 50%

A hybrid framework for compartmental models enabling simulation-based inference

Domenic P. J. Germano, Alexander E. Zarebski, Sophie Hautphenne, Robert Moss, Jennifer A. Flegg, Mark B. Flegg

专题命中仿真评测：occupancy(abstract)

2507.21941 2025-07-30 eess.SY cs.SY 50%

Hierarchical Game-Based Multi-Agent Decision-Making for Autonomous Vehicles

Mushuang Liu, Yan Wan, Frank Lewis, Subramanya Nageshrao, H. Eric Tseng, Dimitar Filev

专题命中仿真评测：autonomous driving(abstract)

Comments 12 pages, 20 figures, 1 algorithm

2507.14066 2025-07-21 cs.LG 50%

Preference-based Multi-Objective Reinforcement Learning

Ni Mu, Yao Luan, Qing-Shan Jia

机构 * Center for Intelligent and Networked System (CFINS)（智能与网络化系统中心）； Department of Automation（自动化系）； Beijing National Research Center for Information Science and Technology（北京信息科学与技术国家研究中心）； Beijing Key Laboratory of Embodied Intelligence Systems（北京具身智能系统重点实验室）； Tsinghua University（清华大学）

专题命中仿真评测：autonomous driving(abstract)

Comments This article has been accepted for publication in IEEE Transactions on Automation Science and Engineering. This is the author's version, which has not been fully edited, and the content may change prior to final publication. \c{opyright} 2025 IEEE. All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies

2506.11659 2025-06-16 cs.SE 50%

An Empirical study on LLM-based Log Retrieval for Software Engineering Metadata Management

Simin Sun, Yuchuan Jin, Miroslaw Staron

专题命中仿真评测：autonomous driving(abstract)

2506.03747 2025-06-05 physics.optics 50%

Fast Non-Line-of-Sight Transient Data Simulation and an Open Benchmark Dataset

Yingjie Shi, Jinye Miao, Taotao Qin, Fuyao Cai, Yi Wei, Lingfeng Liu, Tongyao Li, Chenyang Wu, Huan Liang, Yuyang Yin, Lianfa Bai, Enlai Guo, Jing Han

专题命中仿真评测：autonomous driving(abstract)

2506.01261 2025-06-03 cs.LG 50%

The Actor-Critic Update Order Matters for PPO in Federated Reinforcement Learning

Zhijie Xie, Shenghui Song

专题命中仿真评测：autonomous driving(abstract)

1. 仿真评测 1487 篇

Multimodal-Wireless: A Large-Scale Dataset for Sensing and Communication

Latent Safety-Constrained Policy Approach for Safe Offline Reinforcement Learning

Einstein Fields: A Neural Perspective To Computational General Relativity

The Dynamics of Attention across Automated and Manual Driving Modes: A Driving Simulation Study

Data-driven active learning approaches for accelerating materials discovery

Should Benevolent Deception be Allowed in EHMI? A Mechanism Explanation Based on Game Theory

Dissociation Line and Driving Force for Nucleation of the Multiple Occupied Hydrogen Hydrate from Computer Simulation

A Critical Examination of Active Learning Workflows in Materials Science

On the Robustness of Fairness Practices: A Causal Framework for Systematic Evaluation

A Comprehensive Study of Deep Learning Model Fixing Approaches

Parallelized Code Generation from Simulink Models for Event-driven and Timer-driven ROS 2 Nodes

Single Sr Atoms in Optical Tweezer Arrays for Quantum Simulation

Partitioned Scheduling for DAG Tasks Considering Probabilistic Execution Time

A Further Comparison of MPS and TTNS for Nonadiabatic Dynamics of Exciton Dissociation

CompARE: A Computational framework for Airborne Respiratory disease Evaluation integrating flow physics and human behavior

Compressing Sensor Data for Remote Assistance of Autonomous Vehicles using Deep Generative Models

A Tool for Benchmarking Large Language Models' Robustness in Assessing the Realism of Driving Scenarios

Dislocation-based crystal plasticity simulation on grain-size dependence of mechanical properties in dual-phase steels

David vs. Goliath: A comparative study of different-sized LLMs for code generation in the domain of automotive scenario generation

GPU Temperature Simulation-Based Testing for In-Vehicle Deep Learning Frameworks

A Social Force Model for Companion Groups Considering Relative-Weight Attraction

A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators

RIROS: A Parallel RTL Fault SImulation FRamework with TwO-Dimensional Parallelism and Unified Schedule

TRUCE-AV: A Multimodal dataset for Trust and Comfort Estimation in Autonomous Vehicles

A hybrid framework for compartmental models enabling simulation-based inference

Hierarchical Game-Based Multi-Agent Decision-Making for Autonomous Vehicles

Preference-based Multi-Objective Reinforcement Learning

An Empirical study on LLM-based Log Retrieval for Software Engineering Metadata Management

Fast Non-Line-of-Sight Transient Data Simulation and an Open Benchmark Dataset

The Actor-Critic Update Order Matters for PPO in Federated Reinforcement Learning