Artificial Intelligence Failures in Autonomous Vehicles: Causes, Implications, and Prevention

被引:0
作者
Joshi, Hem Chandra [1 ]
Kumar, Sandeep [1 ]
机构
[1] Indian Inst Technol Roorkee, Roorkee 247667, India
关键词
Industries; Prevention and mitigation; Artificial intelligence; Autonomous vehicles;
D O I
10.1109/MC.2024.3449435
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
We comprehensively explore the causes of artificial intelligence failures in autonomous vehicles and their implications, proposing strategies and technological solutions to prevent these failures. We also outline key research directions for future research and offer actionable recommendations for researchers, policymakers, and industry professionals.
引用
收藏
页码:18 / 30
页数:13
相关论文
共 50 条
  • [21] Survey on Intelligence Evaluation of Autonomous Vehicles
    Chen J.
    Li R.
    Xing X.
    Meng H.
    Yu Z.
    Tongji Daxue Xuebao/Journal of Tongji University, 2019, 47 (12): : 1785 - 1790and1824
  • [22] Survey on Artificial Intelligence for Vehicles
    Li, Jun
    Cheng, Hong
    Guo, Hongliang
    Qiu, Shaobo
    AUTOMOTIVE INNOVATION, 2018, 1 (01) : 2 - 14
  • [23] Applied artificial intelligence and trust-The case of autonomous vehicles and medical assistance devices
    Hengstler, Monika
    Enkel, Ellen
    Duelli, Selina
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2016, 105 : 105 - 120
  • [24] Root causes of adverse drug events in hospitals and artificial intelligence capabilities for prevention
    Gordo, Cristina
    Nunez-Cordoba, Jorge M.
    Mateo, Ricardo
    JOURNAL OF ADVANCED NURSING, 2021, 77 (07) : 3168 - 3175
  • [25] Implications of the Emergence of Autonomous Vehicles and Shared Autonomous Vehicles: A Budapest Perspective
    Shatanawi, Mohamad
    Meszaros, Ferenc
    SUSTAINABILITY, 2022, 14 (17)
  • [26] A Survey on Sensor Failures in Autonomous Vehicles: Challenges and Solutions
    Matos, Francisco
    Bernardino, Jorge
    Duraes, Joao
    Cunha, Joao
    SENSORS, 2024, 24 (16)
  • [27] Autonomous vehicles congestion model: A transparent LSTM-based prediction model corporate with Explainable Artificial Intelligence (EAI)
    Waqas, Muhammad
    Abbas, Sagheer
    Farooq, Umer
    Khan, Muhammad Adnan
    Ahmad, Munir
    Mahmood, Nasir
    EGYPTIAN INFORMATICS JOURNAL, 2024, 28
  • [28] Trustworthy Artificial Intelligence Requirements in the Autonomous Driving Domain
    Fernandez-Llorca, David
    Gomez, Emilia
    COMPUTER, 2023, 56 (02) : 29 - 39
  • [29] Knowledge mapping of an artificial intelligence application scenario: A bibliometric analysis of the basic research of data-driven autonomous vehicles
    Huang, Lei
    Ladikas, Miltos
    Schippl, Jens
    He, Guangxi
    Hahn, Julia
    TECHNOLOGY IN SOCIETY, 2023, 75
  • [30] Artificial intelligence test: a case study of intelligent vehicles
    Li, Li
    Lin, Yi-Lun
    Zheng, Nan-Ning
    Wang, Fei-Yue
    Liu, Yuehu
    Cao, Dongpu
    Wang, Kunfeng
    Huang, Wu-Ling
    ARTIFICIAL INTELLIGENCE REVIEW, 2018, 50 (03) : 441 - 465