自动驾驶

Self-driving laboratory for accelerated discovery of thin-film materials

Benjamin P. MacLeod, Fraser G. L. Parlane, Thomas D. Morrissey, Florian Häse, Loïc M. Roch, Kevan E. Dettelbach, Raphaell Moreira, Lars P. E. Yunker, Michael B. Rooney, Joseph R. Deeth, Veronica Lai, Gordon J. Ng, Henry Situ, Ray H. Zhang, Michael S. Elliott, Ted H. Haley, David J. Dvorak, Alán Aspuru-Guzik, Jason E. Hein, Curtis P. Berlinguette

专题命中 其他自动驾驶 ：self-driving(title,abstract)

Comments 43 pages, 9 figures

Beyond Ternary OPV: High-Throughput Experimentation and Self-Driving Laboratories Optimize Multi-Component Systems

Stefan Langner, Florian Häse, José Darío Perea, Tobias Stubhan, Jens Hauch, Loïc M. Roch, Thomas Heumueller, Alán Aspuru-Guzik, Christoph J. Brabec

专题命中 其他自动驾驶 ：self-driving(title,abstract)

nn-dependability-kit: Engineering Neural Networks for Safety-Critical Autonomous Driving Systems

Chih-Hong Cheng, Chung-Hao Huang, Georg Nührenberg

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)

Comments Tool available at https://github.com/dependable-ai/nn-dependability-kit

Physics of Autonomous Driving based on Three-Phase Traffic Theory

Boris S. Kerner

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)

Comments 5 pages, 4 figures

Journal ref Phys. Rev. E 97, 042303 (2018); in: R. A. Meyers (ed.), Encyclopedia of Complexity and Systems Science,

PI-Edge: A Low-Power Edge Computing System for Real-Time Autonomous Driving Services

Jie Tang, Shaoshan Liu, Bo Yu, Weisong Shi

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)

Automatic Rule Learning for Autonomous Driving Using Semantic Memory

Dmitriy Korchev, Aruna Jammalamadaka, Rajan Bhattacharyya

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)

Comments 8 pages, 23 figures

DeepRoad: GAN-based Metamorphic Autonomous Driving System Testing

Mengshi Zhang, Yuqun Zhang, Lingming Zhang, Cong Liu, Sarfraz Khurshid

专题命中 其他自动驾驶 ：autonomous driving(title,abstract)

Comments 7 pages

Considerations about Continuous Experimentation for Resource-Constrained Platforms in Self-Driving Vehicles

Federico Giaimo, Christian Berger, Crispin Kirchner

专题命中 其他自动驾驶 ：self-driving(title,abstract)

Comments Copyright 2017 Springer. Paper submitted and accepted at the 11th European Conference on Software Architecture. 8 pages, 1 figure. Published in Lecture Notes in Computer Science vol 10475 (Springer), https://link.springer.com/chapter/10.1007/978-3-319-65831-5_6

Design Criteria to Architect Continuous Experimentation for Self-Driving Vehicles

Federico Giaimo, Christian Berger

专题命中 其他自动驾驶 ：self-driving(title,abstract)

Comments Copyright 2017 IEEE. Paper submitted and accepted at the 2017 IEEE International Conference on Software Architecture. 8 pages, 2 figures. Published in IEEE Xplore Digital Library, URL: http://ieeexplore.ieee.org/abstract/document/7930218/

Journal ref Software Architecture (ICSA), 2017 IEEE International Conference on (pp. 203-210). IEEE

CLIP-RLDrive: Human-Aligned Autonomous Driving via CLIP-Based Reward Shaping in Reinforcement Learning

Erfan Doroudian, Hamid Taghavifar

专题命中 其他自动驾驶 ：autonomous driving(title)；分类 cs.RO、cs.AI

A Rule-Based Behaviour Planner for Autonomous Driving

Bouchard Frederic, Sedwards Sean, Czarnecki Krzysztof

专题命中 其他自动驾驶 ：autonomous driving(title)；分类 cs.RO、cs.AI

Comments Use https://link.springer.com/chapter/10.1007/978-3-031-21541-4_17 for citations

Journal ref Rules and Reasoning (2022) 263-279

Learning to Model Diverse Driving Behaviors in Highly Interactive Autonomous Driving Scenarios with Multi-Agent Reinforcement Learning

Liu Weiwei, Hu Wenxuan, Jing Wei, Lei Lanxin, Gao Lingping, Liu Yong

专题命中 其他自动驾驶 ：autonomous driving(title)；分类 cs.RO、cs.AI

Identify, Estimate and Bound the Uncertainty of Reinforcement Learning for Autonomous Driving

Weitao Zhou, Zhong Cao, Nanshan Deng, Kun Jiang, Diange Yang

专题命中 其他自动驾驶 ：autonomous driving(title)；分类 cs.RO、cs.AI

ECSAS: Exploring Critical Scenarios from Action Sequence in Autonomous Driving

Shuting Kang, Heng Guo, Lijun Zhang, Guangzhen Liu, Yunzhi Xue, Yanjun Wu

专题命中 其他自动驾驶 ：autonomous driving(title)；分类 cs.RO、cs.AI

Optical Flow for Autonomous Driving: Applications, Challenges and Improvements

Shihao Shen, Louis Kerofsky, Senthil Yogamani

专题命中 其他自动驾驶 ：autonomous driving(title)；分类 cs.RO、cs.CV

Comments Accepted for publication in Electronic Imaging, Autonomous Vehicles and Machines 2023

Reinforcement Learning with Probabilistic Guarantees for Autonomous Driving

Maxime Bouton, Jesper Karlsson, Alireza Nakhaei, Kikuo Fujimura, Mykel J. Kochenderfer, Jana Tumova

专题命中 其他自动驾驶 ：autonomous driving(title)；分类 cs.RO、cs.AI

Journal ref Workshop on Safety Risk and Uncertainty in Reinforcement Learning, Conference on Uncertainty in Artificial Intelligence (UAI), 2018

Optical Flow Based Background Subtraction with a Moving Camera: Application to Autonomous Driving

Sotirios Diamantas, Kostas Alexis

专题命中 其他自动驾驶 ：autonomous driving(title)；分类 cs.RO、cs.CV

Comments 5 pages, 4 figures, presubmission

Transferring Autonomous Driving Knowledge on Simulated and Real Intersections

David Isele, Akansel Cosgun

专题命中 其他自动驾驶 ：autonomous driving(title)；分类 cs.RO、cs.AI

Comments Appeared in Lifelong Learning Workshop @ ICML 2017. arXiv admin note: text overlap with arXiv:1705.01197

Systematic Testing of Convolutional Neural Networks for Autonomous Driving

Tommaso Dreossi, Shromona Ghosh, Alberto Sangiovanni-Vincentelli, Sanjit A. Seshia

专题命中 其他自动驾驶 ：autonomous driving(title)；分类 cs.CV、cs.AI

Reducing Text Bias in Synthetically Generated MCQAs for VLMs in Autonomous Driving

减少自动驾驶VLMs中合成生成MCQA的文本偏差

Sutej Kulgod, Sean Ye, Sanchit Tanwar, Christoffer Heckman

机构 * Zoox, Inc.（Zoox公司） 纠错

专题命中 其他自动驾驶 ：autonomous driving(title)；分类 cs.RO

AI总结 本文提出方法减少自动驾驶VLMs中合成生成MCQA的文本偏差，通过解耦正确答案与语言痕迹并采用课程学习策略，使模型依赖视觉基础以提升感知理解能力。

Comments 7 pages, 2 figures

Robustness and Adaptability of Reinforcement Learning based Cooperative Autonomous Driving in Mixed-autonomy Traffic

基于混合自主交通的强化学习协同自动驾驶的鲁棒性与适应性

Rodolfo Valiente, Behrad Toghi, Ramtin Pedarsani, Yaser P. Fallah

专题命中 其他自动驾驶 ：autonomous driving(title)；分类 cs.RO

AI总结 本文提出了一种基于多智能体强化学习的方法，用于提高自动驾驶车辆在混合自主交通环境中的鲁棒性和适应性，通过隐式学习人类驾驶行为以优化社会效用和安全性能。

Cooperative Autonomous Driving in Diverse Behavioral Traffic: A Heterogeneous Graph Reinforcement Learning Approach

Qi Liu, Xueyuan Li, Zirui Li, Juhui Gim

机构 * School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China（北京理工大学机械工程学院） ； School of Mechatronics Engineering, Changwon National University（昌原国立大学机电工程学院） 纠错

专题命中 其他自动驾驶 ：autonomous driving(title)；分类 cs.AI

Comments 7 pages, 5 figures and 4 tables

Universal Camouflage Attack on Vision-Language Models for Autonomous Driving

Dehong Kong, Sifan Yu, Siyuan Liang, Jiawei Liang, Jianhou Gan, Aishan Liu, Wenqi Ren

机构 * School of Cyber Science and Technology, SUN YAT-SEN UNIVERSITY（中山大学计算机科学与技术学院） ； School of Computing, National University of Singapore（新加坡国立大学计算机学院） ； Key Laboratory of Education Informatization for Nationalities, Yunnan Normal University（云南师范大学民族教育信息化重点实验室） ； SCSE, Beihang University（北航软件学院） 纠错

专题命中 其他自动驾驶 ：autonomous driving(title)；分类 cs.CV

My Precious Crash Data: Barriers and Opportunities in Encouraging Autonomous Driving Companies to Share Safety-Critical Data

Hauke Sandhaus, Angel Hsing-Chi Hwang, Wendy Ju, Qian Yang

机构 * Cornell University（康奈尔大学） ； Cornell Tech（康奈尔科技） ； University of Southern California（南加州大学） 纠错

专题命中 其他自动驾驶 ：autonomous driving(title)；分类 cs.AI

Comments To appear in Proc. ACM Hum.-Comput. Interact., Computer-Supported Cooperative Work & Social Computing (CSCW), 2025

ContextVLM: Zero-Shot and Few-Shot Context Understanding for Autonomous Driving using Vision Language Models

Shounak Sural, Naren, Ragunathan Rajkumar

专题命中 其他自动驾驶 ：autonomous driving(title)；分类 cs.CV

Comments Accepted at the 27th IEEE International Conference on Intelligent Transportation Systems (ITSC) 2024

Event-Aided Time-to-Collision Estimation for Autonomous Driving

Jinghang Li, Bangyan Liao, Xiuyuan LU, Peidong Liu, Shaojie Shen, Yi Zhou

专题命中 其他自动驾驶 ：autonomous driving(title)；分类 cs.CV

Comments Accepted to European Conference on Computer Vision 2024, dataset used in this paper can be found at https://nail-hnu.github.io/EventAidedTTC

Overview Analysis of Recent Developments on Self-Driving Electric Vehicles

Qasim Ajao, Lanre Gbenga Sadeeq

专题命中 其他自动驾驶 ：self-driving(title)；分类 cs.RO

CoCar NextGen: a Multi-Purpose Platform for Connected Autonomous Driving Research

Marc Heinrich, Maximilian Zipfl, Marc Uecker, Sven Ochs, Martin Gontscharow, Tobias Fleck, Jens Doll, Philip Schörner, Christian Hubschneider, Marc René Zofka, Alexander Viehl, J. Marius Zöllner

专题命中 其他自动驾驶 ：autonomous driving(title)；分类 cs.RO

Engineering Safety Requirements for Autonomous Driving with Large Language Models

Ali Nouri, Beatriz Cabrero-Daniel, Fredrik Törner, Hȧkan Sivencrona, Christian Berger

专题命中 其他自动驾驶 ：autonomous driving(title)；分类 cs.AI

Comments Accepted in 32nd IEEE International Requirements Engineering 2024 conference, Iceland

Imagination-Augmented Hierarchical Reinforcement Learning for Safe and Interactive Autonomous Driving in Urban Environments

Sang-Hyun Lee, Yoonjae Jung, Seung-Woo Seo

专题命中 其他自动驾驶 ：autonomous driving(title)；分类 cs.RO

Comments 15 pages, 9 figures; corrected typos, added references, revised experiments (results unchanged)