自动驾驶

Goal-Oriented Logic-based Semantic Communication for Neuro-Symbolic Reasoning with Applications onto Autonomous Driving

面向目标的基于逻辑的语义通信及用于自动驾驶的神经符号推理

Ahmet Faruk Saz, Duo Xu, Faramarz Fekri

专题命中 仿真评测 ：autonomous driving(title,abstract)

AI总结 本文针对自动驾驶场景，提出基于一阶逻辑的目标导向语义通信方法，通过选择关键证据传输实现安全决策，在相同通信预算下优于均匀证据选择。

A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving

一个用于自动驾驶的具有大语言模型注释的高风险驾驶场景知识增强数据集

Heye Huang, Jingguang Li, Zhiyuan Zhou, Paul Liang, Mingyu Wu, Kitae Jang, Jianqiang Wang

机构 * Korea Advanced Institute of Science and Technology（韩国科学技术院） ； Fudan University（复旦大学） ； Massachusetts Institute of Technology（麻省理工学院） ； Shanghai Jiao Tong University（上海交通大学） ； Tsinghua University（清华大学） 纠错

专题命中 仿真评测 ：autonomous driving(title,abstract)

AI总结 研究自动驾驶中高风险场景数据不足问题，核心方法是构建K-Risk数据集，整合多源轨迹数据并利用大语言模型生成注释，主要贡献是为自动驾驶开发和评估提供标准化基础。

Comments 22 pages, 9 figures

EvoEye: Self-Evolving Runtime Monitoring for Autonomous Driving Systems

EvoEye：自动驾驶系统的自进化运行时监测

Mingfei Cheng, Lionel Briand, Xiaofei Xie

专题命中 仿真评测 ：autonomous driving(title,abstract)

AI总结 针对自动驾驶系统运行时监测能力固定问题，提出EvoEye，结合运行时监测与目标场景获取实现自进化，如FusionMonitor学习交互、BlindSpotEvolver转换错误获取执行，评估显示效果良好。

From Particles to Perils: SVGD-Based Hazardous Scenario Generation for Autonomous Driving Systems Testing

从粒子到危险：基于SVGD的危险场景生成用于自动驾驶系统测试

Linfeng Liang, Xiao Cheng, Tsong Yueh Chen, Xi Zheng

机构 * Macquarie University（麦考瑞大学） ； Swinburne University of Technology（斯威本理工大学） 纠错

专题命中 仿真评测 ：autonomous driving(title,abstract)

AI总结 本文提出PtoP框架，结合自适应随机种子生成与Stein Variational Gradient Descent，生成多样化的初始条件以发现自动驾驶系统中的故障场景，提升测试安全性与场景多样性。

Journal ref Proceedings of the ACM on Software Engineering, Vol. 3, FSE, Article FSE146, July 2026. Article FSE146 (July 2026),

Towards Autonomous Driving with Short-Packet Rate Splitting: Age of Information Analysis and Optimization

面向自动驾驶的短包速率分割：信息年龄分析与优化

Zirui Zheng, Yingyang Chen, Xinyue Pei, Xingwei Wang, Zhiquan Liu, Theodoros A. Tsiftsis, Miaowen Wen, Pingzhi Fan

专题命中 仿真评测 ：autonomous driving(title,abstract)

AI总结 本文研究短包速率分割以提升信息新鲜度，通过分割单播消息为公共和私有部分，结合多址接入技术，优化信息年龄（AoI），并提出多启动两步凸优化算法以提升系统公平性和超低信息年龄性能。

Comments 13 pages, 13 figures, RSMA, short-packet communication, AoI, URLLC

Dynasto: Validity-Aware Dynamic-Static Parameter Optimization for Autonomous Driving Testing

Dynasto：面向自动驾驶测试的有效性感知动态-静态参数优化

Dmytro Humeniuk, Mohammad Hamdaqa, Houssem Ben Braiek, Amel Bennaceur, Foutse Khomh

专题命中 仿真评测 ：autonomous driving(title,abstract)

AI总结 Dynasto通过联合优化初始场景参数和动态对抗行为，发现更多真实安全关键故障，揭示自动驾驶系统中的弱点。

Comments 12 pages

Pseudo-Simulation for Autonomous Driving

伪模拟用于自动驾驶

Wei Cao, Marcel Hallgarten, Tianyu Li, Daniel Dauner, Xunjiang Gu, Caojun Wang, Yakov Miron, Marco Aiello, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta

机构 * University of Tübingen, Tübingen AI Center（图宾根大学，图宾根人工智能中心） ； NVIDIA Research（NVIDIA研究） ； Robert Bosch GmbH（罗伯特·博世集团） ； OpenDriveLab at Shanghai Innovation Institute（上海创新研究院自动驾驶实验室） ； University of Stuttgart（斯图加特大学） ； University of Toronto（多伦多大学） ； Vector Institute（向量研究所） ； Stanford University（斯坦福大学） 纠错

专题命中 仿真评测 ：autonomous driving(title)；分类 cs.RO、cs.CV、cs.AI

AI总结 本文提出伪模拟方法，通过在真实数据上生成合成观测，提升自动驾驶评估的现实性和效率，实现与闭环模拟更紧密的关联。

Comments CoRL 2025, updated with leaderboard snapshot from March 2026

Interpretable self-driving sputter epitaxy: from black-box optimization to human-usable growth rules

可解释的自动驾驶溅射外延：从黑盒优化到可为人使用的生长规则

Yuki K. Wakabayashi, Yui Ogawa, Franz Benedict Romero, Takuma Otsuka, Yoshitaka Taniyasu

专题命中 仿真评测 ：self-driving(title,abstract)

AI总结 本文提出一种可解释的自动驾驶实验室框架，通过结合贝叶斯优化和自动化光学评估，实现高质量 beta-Ga2O3 异质和同质外延的生长规则优化。

An LLM-driven Scenario Generation Pipeline Using an Extended Scenic DSL for Autonomous Driving Safety Validation

基于扩展Scenic DSL的LLM驱动场景生成流水线用于自动驾驶安全验证

Fida Khandaker Safa, Yupeng Jiang, Xi Zheng

专题命中 仿真评测 ：autonomous driving(title,abstract)

AI总结 本文提出基于扩展Scenic DSL和LLM的场景生成流水线，实现高精度自动驾驶安全验证。

A Graph-based Framework for Coverage Analysis in Autonomous Driving

基于图的自动驾驶覆盖分析框架

Thomas Muehlenstädt, Marius Bause

专题命中 仿真评测 ：autonomous driving(title,abstract)

AI总结 本文提出了一种基于图的覆盖分析框架，通过子图同构和图嵌入方法提升自动驾驶场景的覆盖评估效率与准确性。

Drivora: A Unified and Extensible Infrastructure for Search-based Autonomous Driving Testing

Drivora：一种统一且可扩展的基于搜索的自动驾驶测试基础设施

Mingfei Cheng, Lionel Briand, Yuan Zhou

专题命中 仿真评测 ：autonomous driving(title,abstract)

AI总结 Drivora是一种基于搜索的自动驾驶测试框架，通过统一的场景定义和解耦的架构，提升测试效率与扩展性。

Model-based Development for Autonomous Driving Software Considering Parallelization

基于模型的自动驾驶软件开发中考虑并行化

Kenshin Obi, Takumi Onozawa, Hiroshi Fujimoto, Takuya Azumi

专题命中 仿真评测 ：autonomous driving(title,abstract)

AI总结 本文提出了一种基于模型的开发方法，用于提高自动驾驶软件的并行化和实时性能。

Journal ref Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2024, pp. 1-8

Misbehavior Forecasting for Focused Autonomous Driving Systems Testing

面向聚焦自动驾驶系统测试的恶意行为预测

M M Abid Naziri, Stefano Carlo Lambertenghi, Andrea Stocco, Marcelo d'Amorim

专题命中 仿真评测 ：autonomous driving(title)；self-driving(abstract)

AI总结 Foresee通过恶意行为预测技术提高自动驾驶系统测试效率，发现更多故障并提升故障检测能力。

Comments In proceedings of the 51th IEEE/ACM International Conference on Software Engineering (ICSE '26)

Markov-Renewal Single-Photon LiDAR Simulator

马尔可夫-再生成长单光子激光雷达模拟器

Weijian Zhang, Prateek Chennuri, Hashan K. Weerasooriya, Bole Ma, Stanley H. Chan

专题命中 仿真评测 ：LiDAR(title,abstract)

AI总结 本文提出一种基于马尔可夫-再生成长过程的单光子激光雷达模拟器，通过高效计算光子计数统计，实现高精度与高速度的平衡，适用于大规模物理真实数据生成。

Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving

Bin Rao, Chengyue Wang, Haicheng Liao, Qianfang Wang, Yanchen Guan, Jiaxun Zhang, Xingcheng Liu, Meixin Zhu, Kanye Ye Wang, Zhenning Li

专题命中 仿真评测 ：autonomous driving(title,abstract)

Comments Accepted at AAAI-26 (AAAI 2026), Main Track

Autonomous Driving with RSMA-Enabled Finite Blocklength Transmissions: Ergodic Performance Analysis and Optimization

Yi Wang, Yingyang Chen, Li Wang, Donghong Cai, Xiaofan Li, Pingzhi Fan

专题命中 仿真评测 ：autonomous driving(title,abstract)

Comments This work has been accepted by IEEE Transactions on Wireless Communications

EEG-fused Digital Twin Brain for Autonomous Driving in Virtual Scenarios

Yubo Hou, Zhengxin Zhang, Ziyi Wang, Wenlian Lu, Jianfeng Feng, Taiping Zeng

专题命中 仿真评测 ：autonomous driving(title,abstract)

Multi-modal Traffic Scenario Generation for Autonomous Driving System Testing

Zhi Tu, Liangkun Niu, Wei Fan, Tianyi Zhang

专题命中 仿真评测 ：autonomous driving(title,abstract)

Comments 24 pages, 6 figures, Accepted to FSE 2025

Journal ref Proceedings of the ACM on Software Engineering, Volume 2, Issue FSE, Article No. FSE078 (July 2025), pp. 1733--1756

Causality-aware Safety Testing for Autonomous Driving Systems

Wenbing Tang, Mingfei Cheng, Renzhi Wang, Yuan Zhou, Chengwei Liu, Yang Liu, Zuohua Ding

专题命中 仿真评测 ：autonomous driving(title,abstract)

Using Cooperative Co-evolutionary Search to Generate Metamorphic Test Cases for Autonomous Driving Systems

Hossein Yousefizadeh, Shenghui Gu, Lionel C. Briand, Ali Nasr

专题命中 仿真评测 ：autonomous driving(title,abstract)

Comments 33 pages, 16 figures, to be published in IEEE Transactions on Software Engineering (2025)

Journal ref IEEE Transactions on Software Engineering (TSE). (2025) 1-30

Moral Testing of Autonomous Driving Systems

Wenbing Tang, Mingfei Cheng, Yuan Zhou, Yang Liu

专题命中 仿真评测 ：autonomous driving(title,abstract)

ICST Tool Competition 2025 -- Self-Driving Car Testing Track

Christian Birchler, Stefan Klikovits, Mattia Fazzini, Sebastiano Panichella

专题命中 仿真评测 ：self-driving(title,abstract)

LMM-enhanced Safety-Critical Scenario Generation for Autonomous Driving System Testing From Non-Accident Traffic Videos

Haoxiang Tian, Xingshuo Han, Yuan Zhou, Guoquan Wu, An Guo, Mingfei Cheng, Shuo Li, Jun Wei, Tianwei Zhang

专题命中 仿真评测 ：autonomous driving(title,abstract)

Comments 17 pages

CIMRL: Combining IMitation and Reinforcement Learning for Safe Autonomous Driving

Jonathan Booher, Khashayar Rohanimanesh, Junhong Xu, Vladislav Isenbaev, Ashwin Balakrishna, Ishan Gupta, Wei Liu, Aleksandr Petiushko

专题命中 仿真评测 ：autonomous driving(title,abstract)

Enhancing Autonomous Driving Safety Analysis with Generative AI: A Comparative Study on Automated Hazard and Risk Assessment

Alireza Abbaspour, Aliasghar Arab, Yashar Mousavi

专题命中 仿真评测 ：autonomous driving(title,abstract)

LeGEND: A Top-Down Approach to Scenario Generation of Autonomous Driving Systems Assisted by Large Language Models

Shuncheng Tang, Zhenya Zhang, Jixiang Zhou, Lei Lei, Yuan Zhou, Yinxing Xue

专题命中 仿真评测 ：autonomous driving(title,abstract)

MarMot: Metamorphic Runtime Monitoring of Autonomous Driving Systems

Jon Ayerdi, Asier Iriarte, Pablo Valle, Ibai Roman, Miren Illarramendi, Aitor Arrieta

专题命中 仿真评测 ：autonomous driving(title,abstract)

Comments Accepted at ACM Transactions on Software Engineering and Methodology

ICSFuzz: Collision Detector Bug Discovery in Autonomous Driving Simulators

Weiwei Fu, Heqing Huang, Yifan Zhang, Ke Zhang, Jin Huang, Wei-Bin Lee, Jianping Wang

专题命中 仿真评测 ：autonomous driving(title,abstract)

Reconfigurable Intelligent Computational Surfaces for MEC-Assisted Autonomous Driving Networks: Design Optimization and Analysis

Xueyao Zhang, Bo Yang, Zhiwen Yu, Xuelin Cao, George C. Alexandropoulos, Yan Zhang, Merouane Debbah, Chau Yuen

专题命中 仿真评测 ：autonomous driving(title,abstract)

Rigorous Simulation-based Testing for Autonomous Driving Systems -- Targeting the Achilles' Heel of Four Open Autopilots

Changwen Li, Joseph Sifakis, Rongjie Yan, Jian Zhang

专题命中 仿真评测 ：autonomous driving(title,abstract)

Comments 57 pages, 19 figures, 29 tables