Automated driving and autonomous functions on road vehicles

被引:75
|
作者
Gordon, T. J. [1 ]
Lidberg, M. [2 ]
机构
[1] Lincoln Univ, Sch Engn, Lincoln LN6 7TS, England
[2] Chalmers Univ Technol, Dept Appl Mech, SE-41296 Gothenburg, Sweden
关键词
intelligent control; vehicle sensors; vehicle automation; self-driving cars; driver-vehicle interaction; collision avoidance; active safety; NAVIGATION; SYSTEMS; STATE;
D O I
10.1080/00423114.2015.1037774
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In recent years, road vehicle automation has become an important and popular topic for research and development in both academic and industrial spheres. New developments have received extensive coverage in the popular press, and it may be said that the topic has captured the public imagination. Indeed, the topic has generated interest across a wide range of academic, industry and governmental communities, well beyond vehicle engineering; these include computer science, transportation, urban planning, legal, social science and psychology. While this follows a similar surge of interest - and subsequent hiatus - of Automated Highway Systems in the 1990s, the current level of interest is substantially greater, and current expectations are high. It is common to frame the new technologies under the banner of 'self-driving cars' - robotic systems potentially taking over the entire role of the human driver, a capability that does not fully exist at present. However, this single vision leads one to ignore the existing range of automated systems that are both feasible and useful. Recent developments are underpinned by substantial and long-term trends in 'computerisation' of the automobile, with developments in sensors, actuators and control technologies to spur the new developments in both industry and academia. In this paper, we review the evolution of the intelligent vehicle and the supporting technologies with a focus on the progress and key challenges for vehicle system dynamics. A number of relevant themes around driving automation are explored in this article, with special focus on those most relevant to the underlying vehicle system dynamics. One conclusion is that increased precision is needed in sensing and controlling vehicle motions, a trend that can mimic that of the aerospace industry, and similarly benefit from increased use of redundant by-wire actuators.
引用
收藏
页码:958 / 994
页数:37
相关论文
共 50 条
  • [1] Special issue on Motion Control for Automated Driving and Autonomous Functions on Road Vehicles
    Lidberg, Mathias
    Mueller, Steffen
    VEHICLE SYSTEM DYNAMICS, 2019, 57 (08) : 1087 - 1089
  • [2] Automated car diagnosis for autonomous driving vehicles
    Michler, T
    Ehlers, T
    Varchmin, JU
    MEASUREMENT AND TESTING METHODOLOGIES IN AUTOMOTIVE DESIGN, 1999, 1470 : 231 - 251
  • [3] Detection of Occluded Road Signs on Autonomous Driving Vehicles
    Guo, Jingda
    Cheng, Xianwei
    Chen, Qi
    Yang, Qing
    2019 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME), 2019, : 856 - 861
  • [4] A Design Method for Road Vehicles with Autonomous Driving Control
    Mao, Chunyu
    He, Yuping
    Agelin-Chaab, Martin
    ACTUATORS, 2024, 13 (11)
  • [5] Road Capacity and Throughput for Safe Driving Autonomous Vehicles
    Wang, Yuan-Ying
    Wei, Hung-Yu
    IEEE ACCESS, 2020, 8 : 95779 - 95792
  • [6] A hybrid controller for autonomous vehicles driving on automated highways
    Girault, A
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2004, 12 (06) : 421 - 452
  • [7] Communication Beyond Vehicles-Road to Automated Driving
    Mueller, Steffen
    van Roermund, Timo
    Steigemann, Mark
    ADVANCED MICROSYSTEMS FOR AUTOMOTIVE APPLICATIONS 2016: SMART SYSTEMS FOR THE AUTOMOBILE OF THE FUTURE, 2016, : 55 - 64
  • [8] Evaluating the Impact of Road Quality in Driving Behavior of Autonomous Vehicles
    Yang, Xinyi
    Ren, Yihao
    Hu, Liuqing
    Huang, Ying
    Lu, Pan
    SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2021, 2021, 11591
  • [9] AUTONOMOUS VEHICLES AND AUTOMATED DRIVING: STATUS, PERSPECTIVES AND SOCIETAL IMPACT
    Schoitsch, Erwin
    IDIMT-2016- INFORMATION TECHNOLOGY, SOCIETY AND ECONOMY STRATEGIC CROSS-INFLUENCES, 2016, 45 : 405 - 423
  • [10] Fitness Functions for Testing Automated and Autonomous Driving Systems
    Hauer, Florian
    Pretschner, Alexander
    Holzmueller, Bernd
    COMPUTER SAFETY, RELIABILITY, AND SECURITY, SAFECOMP 2019, 2019, 11698 : 69 - 84