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
  • [41] A review on AI Safety in highly automated driving
    Waeschle, Moritz
    Thaler, Florian
    Berres, Axel
    Poelzlbauer, Florian
    Albers, Albert
    [J]. FRONTIERS IN ARTIFICIAL INTELLIGENCE, 2022, 5
  • [42] Macroscopic Safety Requirements for Highly Automated Driving
    Junietz, Philipp
    Steininger, Udo
    Winner, Hermann
    [J]. TRANSPORTATION RESEARCH RECORD, 2019, 2673 (03) : 1 - 10
  • [43] HUMAN FACTORS PERSPECTIVES ON HIGHLY AUTOMATED DRIVING
    Navarro, Jordan
    Gabaude, Catherine
    [J]. TRAVAIL HUMAIN, 2020, 83 (04): : 285 - 295
  • [44] The battle of the senses: application of future control devices as a fallback solution for highly automated driving
    Perner, Marcus
    Dreher, Christian
    Lepke, Ronny
    Reich, Viktor
    Stock, Malte
    Niendorf, Angelo
    Lampe, Moritz
    Gebhardt, Martin
    Heine, Simon
    [J]. 10TH INTERNATIONAL MUNICH CHASSIS SYMPOSIUM 2019 (CHASSIS.TECH PLUS), 2020, : 579 - 588
  • [45] Driving Performance After Self-Regulated Control Transitions in Highly Automated Vehicles
    Eriksson, Alexander
    Stanton, Neville A.
    [J]. HUMAN FACTORS, 2017, 59 (08) : 1233 - 1248
  • [46] Research on Pressure Control Algorithm of Regenerative Braking System for Highly Automated Driving Vehicles
    Chu, Liang
    Xu, Yanwu
    Zhao, Di
    Chang, Cheng
    [J]. WORLD ELECTRIC VEHICLE JOURNAL, 2021, 12 (03)
  • [47] Influence of driver characteristics on driving comfort during highly automated driving
    Beggiato, Matthias
    Hartwich, Franziska
    Krems, Josef
    [J]. AT-AUTOMATISIERUNGSTECHNIK, 2017, 65 (07) : 512 - 521
  • [48] Understanding and Applying the Concept of "Driver Availability" in Automated Driving
    Marberger, Claus
    Mielenz, Holger
    Naujoks, Frederik
    Radlmayr, Jonas
    Bengler, Klaus
    Wandtner, Bernhard
    [J]. ADVANCES IN HUMAN ASPECTS OF TRANSPORTATION, 2018, 597 : 595 - 605
  • [49] Synchronization of Hybrid Models in the Automated Driving Simulation
    Baron, Wojciech
    Sippl, Christoph
    Hielscher, Kai-Steffen
    German, Reinhard
    [J]. 2022 IEEE 95TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-SPRING), 2022,
  • [50] Hybrid Cognitive Computing for Enabling Automated Driving
    Dimitrakopoulos, George
    Panagiotopoulos, Ilias
    [J]. 2019 6TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI 2019), 2019, : 1236 - 1242