Books on the topic 'Autonomous vehicle systems'

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1

Liu, Shaoshan, Liyun Li, Jie Tang, Shuang Wu, and Jean-Luc Gaudiot. Creating Autonomous Vehicle Systems. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-031-01805-3.

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2

Liu, Shaoshan, Liyun Li, Jie Tang, Shuang Wu, and Jean-Luc Gaudiot. Creating Autonomous Vehicle Systems. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-031-01802-2.

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3

Miller, Richard Kendall. Survey on autonomous vehicle guidance systems. Madison, GA: Future Technology Surveys, 1989.

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4

Wallace, Rodrick. Canonical Instabilities of Autonomous Vehicle Systems. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-69935-6.

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5

H Liu, Hugh, and Bo Zhu, eds. Formation Control of Multiple Autonomous Vehicle Systems. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119263081.

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6

Wang, Yuanzhe, and Danwei Wang. Collaborative Fleet Maneuvering for Multiple Autonomous Vehicle Systems. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-5798-7.

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7

Zuev, Sergey, Ruslan Maleev, and Aleksandr Chernov. Energy efficiency of electrical equipment systems of autonomous objects. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1740252.

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When considering the main trends in the development of modern autonomous objects (aircraft, combat vehicles, motor vehicles, floating vehicles, agricultural machines, etc.) in recent decades, two key areas can be identified. The first direction is associated with the improvement of traditional designs of autonomous objects (AO) with an internal combustion engine (ICE) or a gas turbine engine (GTD). The second direction is connected with the creation of new types of joint-stock companies, namely electric joint-stock companies( EAO), joint-stock companies with combined power plants (AOKEU). The energy efficiency is largely determined by the power of the generator set and the battery, which is given to the electrical network in various driving modes. Most of the existing methods for calculating power supply systems use the average values of disturbing factors (generator speed, current of electric energy consumers, voltage in the on-board network) when choosing the characteristics of the generator set and the battery. At the same time, it is obvious that when operating a motor vehicle, these parameters change depending on the driving mode. Modern methods of selecting the main parameters and characteristics of the power supply system do not provide for modeling its interaction with the power unit start-up system of a motor vehicle in operation due to the lack of a systematic approach. The choice of a generator set and a battery, as well as the concept of the synthesis of the power supply system is a problem studied in the monograph. For all those interested in electrical engineering and electronics.
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8

Trimble, Tammy E., Stephanie Baker, Jason Wagner, Wendy Wagner, Lisa Loftus-Otway, Brad Mallory, Susanna Gallun, et al. Implications of Connected and Automated Driving Systems, Vol. 4: Autonomous Vehicle Action Plan. Washington, D.C.: Transportation Research Board, 2018. http://dx.doi.org/10.17226/25292.

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9

Davis, Duane T. Precision control and maneuvering of the Phoenix autonomous underwater vehicle for entering a recovery tube. Monterey, Calif: Naval Postgraduate School, 1996.

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10

Trimble, Tammy E., Stephanie Baker, Jason Wagner, Myra Blanoo, Wendy Wagner, Lisa Loftus-Otway, Brad Mallory, et al. Implications of Connected and Automated Driving Systems, Vol. 5: Developing the Autonomous Vehicle Action Plan. Washington, D.C.: Transportation Research Board, 2018. http://dx.doi.org/10.17226/25291.

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11

Shladover, S. Recent international activity in cooperative vehicle-highway automation systems. McLean, VA: Office of Operations Research and Development, Turner-Fairban Highway Research Center, 2012.

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12

Easley, Wesley C. Interface of the transport systems research vehicle monochrome flight display system to the digital autonomous terminal access communication data bus. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1986.

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13

Nordman, Douglas B. A computer simulation study of mission planning and control for the NPS autonomous underwater vehicle. Monterey, Calif: Naval Postgraduate School, 1989.

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14

Rickenbach, Mark Douglas. Correction of inertial navigation system drift errors for an autonomous land vehicle using optical radar terrain data. Monterey, Calif: Naval Postgraduate School, 1987.

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15

Shladover, S. Literature review on recent international activity in cooperative vehicle-highway automation systems. McLean, VA: Office of Operations Research and Development, Turner-Fairban Highway Research Center, 2012.

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16

Nonami, Kenzo, Muljowidodo Kartidjo, Kwang-Joon Yoon, and Agus Budiyono, eds. Autonomous Control Systems and Vehicles. Tokyo: Springer Japan, 2013. http://dx.doi.org/10.1007/978-4-431-54276-6.

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17

Nonami, Kenzo. Autonomous Control Systems and Vehicles: Intelligent Unmanned Systems. Tokyo: Springer Japan, 2013.

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18

Hallam, John. Autonomous vehicles as real-time expert systems. (Edinburgh): Dept. of Artificial Intelligence, University of Edinburgh, 1987.

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19

Li, Yan, and Hualiang Shi, eds. Advanced Driver Assistance Systems and Autonomous Vehicles. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5053-7.

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20

Autonomous mobile robots: Vehicles with cognitive control. Singapore: World Scientific, 1991.

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21

Mobile intelligent autonomous systems. Boca Raton, FL: Taylor & Francis, 2012.

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22

Finn, Anthony. Developments and challenges for autonomous unmanned vehicles: A compendium. Berlin: Springer Verlag, 2010.

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23

service), SpringerLink (Online, ed. Cooperative Control of Dynamical Systems: Applications to Autonomous Vehicles. London: Springer London, 2009.

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24

Shen, Tunan. Diagnosis of the Powertrain Systems for Autonomous Electric Vehicles. Wiesbaden: Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-36992-7.

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25

service), SpringerLink (Online, ed. Autonomous Intelligent Vehicles: Theory, Algorithms, and Implementation. London: Springer-Verlag London Limited, 2011.

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26

Pushkin, Kachroo, ed. Autonomous underwater vehicles: Modeling, control design, and simulation. Boca Raton: CRC Press, 2011.

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27

Operations research for unmanned systems. Chichester, UK: John Wiley & Sons, 2016.

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28

Wang, Yue. Search and Classification Using Multiple Autonomous Vehicles: Decision-Making and Sensor Management. 2nd ed. London: Springer London, 2012.

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29

Pushkin, Kachroo, ed. Autonomous underwater vehicles: Modeling, control design, and simulation. Boca Raton: CRC Press, 2011.

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30

McGhee, Robert B. Technology survey and preliminary design for small AUV navigation system. Monterey, Calif: Naval Postgraduate School, 1992.

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31

Albus, James Sacra. System description and design architecture for multiple autonomous undersea vehicles. Gaithersburg, MD: U.S. Dept. of Commerce, National Institute of Standards and Technology, 1988.

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32

Albus, James Sacra. System description and design architecture for multiple autonomous undersea vehicles. Gaithersburg, MD: U.S. Dept. of Commerce, National Institute of Standards and Technology, 1988.

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33

Bostelman, Roger, and E. R. Messina. Autonomous industrial vehicles: From the laboratory to the factory floor. Edited by ASTM International. West Conshohocken, PA: ASTM International, 2016.

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34

Hu, Donghai. Design and Control of Hybrid Brake-by-Wire System for Autonomous Vehicle. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8946-8.

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35

Tang, Jie, Jean-Luc Gaudiot, Shuang Wu, Shaoshan Liu, and Liyun Li. Creating Autonomous Vehicle Systems. Morgan & Claypool Publishers, 2020.

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36

Tang, Jie, Jean-Luc Gaudiot, Shuang Wu, Shaoshan Liu, and Liyun Li. Creating Autonomous Vehicle Systems. Morgan & Claypool Publishers, 2017.

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37

Tang, Jie, Jean-Luc Gaudiot, Shuang Wu, Shaoshan Liu, and Liyun Li. Creating Autonomous Vehicle Systems. Morgan & Claypool Publishers, 2020.

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38

Tang, Jie, Jean-Luc Gaudiot, Shuang Wu, Shaoshan Liu, and Liyun Li. Creating Autonomous Vehicle Systems. Morgan & Claypool Publishers, 2020.

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39

Tang, Jie, Jean-Luc Gaudiot, Shuang Wu, Shaoshan Liu, and Liyun Li. Creating Autonomous Vehicle Systems. Morgan & Claypool Publishers, 2017.

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40

Shaoshan, Liu, Li Liyun, Wu Shuang, Gaudiot Jean-Luc, and Tang Jie. Creating Autonomous Vehicle Systems, Second Edition. Springer International Publishing AG, 2020.

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41

Zhu, Bo, and Hugh H. T. Liu. Formation Control of Multiple Autonomous Vehicle Systems. Wiley, 2018.

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42

Zhu, Bo, and Hugh H. T. Liu. Formation Control of Multiple Autonomous Vehicle Systems. Wiley & Sons, Incorporated, John, 2018.

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43

Zhu, Bo, and Hugh H. T. Liu. Formation Control of Multiple Autonomous Vehicle Systems. Wiley & Sons, Incorporated, John, 2018.

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44

Zhu, Bo, and Hugh H. T. Liu. Formation Control of Multiple Autonomous Vehicle Systems. Wiley & Sons, Limited, John, 2018.

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45

Wang, Yuanzhe, and Danwei Wang. Collaborative Fleet Maneuvering for Multiple Autonomous Vehicle Systems. Springer, 2022.

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46

Driankov, Dimiter, and Alessandro Saffiotti. Fuzzy Logic Techniques for Autonomous Vehicle Navigation. Physica-Verlag, 2013.

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47

(Editor), Dimiter Driankov, and Alessandro Saffiotti (Editor), eds. Fuzzy Logic Techniques for Autonomous Vehicle Navigation. Physica-Verlag Heidelberg, 2002.

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48

Young, Richard. Critical Analysis of Prototype Autonomous Vehicle Crash Rates: Six Scientific Studies from 2015–2018. SAE International, 2021. http://dx.doi.org/10.4271/9781468603422.

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Will Automated Vehicles be Safer than Conventional Vehicles? One of the critically important questions that has emerged about advanced technologies in transportation is how to test the actual effects of these advanced systems on safety, particularly how to evaluate the safety of highly automated driving systems. Richard Young's Critical Analysis of Prototype Autonomous Vehicle Crash Rates does a deep dive into these questions by reviewing and then critically analyzing the first six scientific studies of AV crash rates.
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49

Wallace, Rodrick. Canonical Instabilities of Autonomous Vehicle Systems: The Unsettling Reality Behind the Dreams of Greed. Springer, 2017.

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50

Noussia, Kyriaki, Matthew Channon, and Lucy McCormick. Law and Autonomous Vehicles. Informa Law, 2019.

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