Highly Automated Driving - Technology and Challenges

被引:0
|
作者
Spannheimer, Helmut [1 ]
Heimrath, Michael [1 ]
Wisselmann, Dirk [2 ]
机构
[1] BMW Grp Forsch & Tech, Munich, Germany
[2] BMW Grp, Munich, Germany
关键词
D O I
暂无
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Is highly automated driving on the highway already possible today? In a potential study, the BMW Group evaluated the technical possibilities and developed a vehicle wherein several technologies required for highly automated driving were developed, allowing the vehicle to drive on the highway without driver intervention. The solutions and results shed a light on the many possibilities for future driver assistance systems. Beside the technical solutions, highly automated driving requires the resolution of legal issues. Additionally, proving the system's safety and reliability will be quite a challenge.
引用
收藏
页码:275 / 286
页数:12
相关论文
共 50 条
  • [21] Macroscopic Safety Requirements for Highly Automated Driving
    Junietz, Philipp
    Steininger, Udo
    Winner, Hermann
    TRANSPORTATION RESEARCH RECORD, 2019, 2673 (03) : 1 - 10
  • [22] HUMAN FACTORS PERSPECTIVES ON HIGHLY AUTOMATED DRIVING
    Navarro, Jordan
    Gabaude, Catherine
    TRAVAIL HUMAIN, 2020, 83 (04): : 285 - 295
  • [23] Influence of driver characteristics on driving comfort during highly automated driving
    Beggiato, Matthias
    Hartwich, Franziska
    Krems, Josef
    AT-AUTOMATISIERUNGSTECHNIK, 2017, 65 (07) : 512 - 521
  • [24] Self-driving and Highly Automated Control System for Driving Simulator
    Liu, Tianbo
    Xu, Nan
    Liu, Xiyang
    Xu, Chong
    PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MECHATRONICS, COMPUTER AND EDUCATION INFORMATIONIZATION (MCEI 2016), 2016, 130 : 199 - 203
  • [25] Consumer demand for fully automated driving technology
    Shin, Kong Joo
    Tada, Naoto
    Managi, Shunsuke
    ECONOMIC ANALYSIS AND POLICY, 2019, 61 : 16 - 28
  • [26] Description of Corner Cases in Automated Driving: Goals and Challenges
    Bogdoll, Daniel
    Breitenstein, Jasmin
    Heidecker, Florian
    Bieshaar, Maarten
    Sick, Bernhard
    Fingscheidt, Tim
    Zoellner, J. Marius
    2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2021), 2021, : 1023 - 1028
  • [27] Road Infrastructure Challenges Faced by Automated Driving: A Review
    Mihalj, Tomislav
    Li, Hexuan
    Babic, Dario
    Lex, Cornelia
    Jeudy, Mathieu
    Zovak, Goran
    Babic, Darko
    Eichberger, Arno
    APPLIED SCIENCES-BASEL, 2022, 12 (07):
  • [28] The Challenges of Driving Mode Switching in Automated Vehicles: A Review
    Hu, Lin
    Cai, Hai
    Huang, Jing
    Cao, Dongpu
    Zhang, Xin
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (02) : 1777 - 1791
  • [29] Discussion of "Some statistical challenges in automated driving systems"
    Banks, David
    Liu, Yen-Chun
    APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2023, 39 (05) : 653 - 656
  • [30] The Status and Challenges of High Precision Map for Automated Driving
    Liu, Jun
    Xiao, Jihua
    Cao, HongJie
    Deng, Jiakai
    CHINA SATELLITE NAVIGATION CONFERENCE (CSNC) 2019 PROCEEDINGS, VOL I, 2019, 562 : 266 - 276