Hybrid Control Concept for Highly Automated Driving on Freeways

被引:5
|
作者
Ardelt, Michael [1 ]
Waldmann, Peter [1 ]
机构
[1] BMW Grp Forsch & Tech, D-80788 Munich, Germany
关键词
Highly automated driving; hybrid systems; advanced driver assistance systems; active safety;
D O I
10.1524/auto.2011.0961
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
An innovative hybrid system structure for continuous control systems with discrete decision-making processes is presented. The functionality is demonstrated on a highly automated driving system on freeways and on the emergency stop assistant. Due to the fact that the robustness will be a determining factor for future usage of these systems, the presented structure focuses on this feature.
引用
收藏
页码:738 / 750
页数:13
相关论文
共 50 条
  • [31] The influence of age on the take-over of vehicle control in highly automated driving
    Koerber, Moritz
    Gold, Christian
    Lechner, David
    Bengler, Klaus
    TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR, 2016, 39 : 19 - 32
  • [32] The Effect of Surrounding Scenery Complexity on the Transfer of Control Time in Highly Automated Driving
    Wiehr, Frederik
    Cakar, Baris
    Daiber, Florian
    Krueger, Antonio
    IUI '21 - 26TH INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES, 2021, : 92 - 97
  • [33] Nonlinear Model Predictive Path-Following Control for Highly Automated Driving
    Ritschel, Robert
    Schroedel, Frank
    Haedrich, Juliane
    Jaekel, Jens
    IFAC PAPERSONLINE, 2019, 52 (08): : 350 - 355
  • [34] Adaptive Cruise Control with Look-Ahead Anticipation for Driving on Freeways
    Kamal, Md Abdus Samad
    Hashikura, Kotaro
    Hayakawa, Tomohisa
    Yamada, Kou
    Imura, Jun-ichi
    APPLIED SCIENCES-BASEL, 2022, 12 (02):
  • [35] A safety monitoring concept for fully automated driving
    Kojchev, Stefan
    Klintberg, Emil
    Fredriksson, Jonas
    2020 IEEE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2020,
  • [36] A Novel Multimode Hybrid Control Method for Cooperative Driving of an Automated Vehicle Platoon
    Ma, Yulin
    Li, Zhixiong
    Malekian, Reza
    Zheng, Sifa
    Sotelo, Miguel Angel
    IEEE INTERNET OF THINGS JOURNAL, 2021, 8 (07): : 5822 - 5838
  • [37] Towards a generic lateral control concept for cooperative automated driving theoretical and experimental evaluation
    Schmeitz, Antoine
    Zegers, Jeroen
    Ploeg, Jeroen
    Alirezaei, Mohsen
    2017 5TH IEEE INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS (MT-ITS), 2017, : 134 - 139
  • [38] Control algorithm for automated driving
    Fukao, Takanori
    Sugimachi, Toshiyuki
    Journal of the Institute of Electrical Engineers of Japan, 2015, 135 (07): : 429 - 432
  • [39] Temporal Analysis of the Gate Concept as Enabler for Highly Automated Driving based on the Conduct-by-Wire Approach
    Geyer, Sebastian
    Karg, Melanie
    Hakuli, Stephan
    Winner, Hermann
    Franz, Benjamin
    Kauer, Michaela
    2012 15TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2012, : 7 - 12
  • [40] Chassis Functions for Highly Automated Driving and their Verification
    Perner, Marcus
    Gebhardt, Martin
    Weinhold, Nick
    ATZ worldwide, 2022, 124 (06) : 44 - 47