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Decisions for autonomous vehicles: integrating sensors, communication, and control

Published: 15 April 2014 Publication History

Abstract

This paper details the work in progress to formalize methods and algorithms for autonomous decision making, focusing on the implementation of autonomous vehicles. Many different scenarios are to be considered while focusing on a heterogeneous environment of human driven, semi-autonomous, and fully autonomous vehicles. As this work is in its early stages of development, this paper summarizes the work that has been done in the areas of vehicle to vehicle communication with control applications and high-level decision making for autonomous vehicles. The proposed method to be implemented is also presented, which aims to guarantee feasibility, safety, and stability of autonomous systems.

References

[1]
P. Abbeel and A. Y. Ng. Apprenticeship learning via inverse reinforcement learning. In Proceedings of ICML, 2004.
[2]
R. P. Jeffrey Forbes, Nikunj Oza and S. Russell. Feasibility study of fully automated vehicles using decision-theoretic control. California PATH Research Report UCB-ITS-PRR-97-6, January 1997.
[3]
S. Sheikholeslam and C. Desoer. Longitudinal control of a platoon of vehicles with no communication of lead vehicle information: a system level study. IEEE Transactions on Vehicular Technology, 42(4):546--554, 1993.
[4]
V. Shia, Y. Gao, R. Vasudevan, K. Driggs-Campbell, T. Lin, F. Borrelli, and R. Bajcsy. Driver modeling for real-time semi-autonomous vehicular control. IEEE Transactions on Intelligent Transportation Systems, accepted, pending revision.
[5]
S. Thrun and et al. Stanley: The robot that won the darpa grand challenge. Journal of Field Robotics, 2006, 23(9):661--692, 2006.
[6]
S. Tsugawa. Inter-vehicle communications and their applications to intelligent vehicles: an overview. In IEEE Intelligent Vehicle Symposium, volume 2, pages 564--569 vol. 2, 2002.
[7]
P. Varaiya. Smart cars on smart roads: problems of control. IEEE Transactions on Automatic Control, 38(2):195--207, 1993.
[8]
R. Vasudevan, V. Shia, Y. Gao, R. Cervera-Navarro, R. Bajcsy, and F. Borrelli. Safe semi-autonomous control with enhanced driver modeling. In American Control Conference, pages 2896--2903, 2012.
[9]
Q. Xu, K. Hedrick, R. Sengupta, and J. VanderWerf. Effects of vehicle-vehicle/roadside-vehicle communication on adaptive cruise controlled highway systems. In IEEE Vehicular Technology Conference, volume 2, pages 1249--1253 vol. 2, 2002.

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  • (2022)YOLO Algorithm Implementation for Real Time Object Detection and Tracking2022 IEEE Students Conference on Engineering and Systems (SCES)10.1109/SCES55490.2022.9887678(01-06)Online publication date: 1-Jul-2022
  • (2018)Mapping Ordinances and Tweets using Smart City Characteristics to Aid Opinion MiningCompanion Proceedings of the The Web Conference 201810.1145/3184558.3191632(1721-1728)Online publication date: 23-Apr-2018
  • (2017)Enhancing Autonomous Vehicles with Commonsense: Smart Mobility in Smart Cities2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI)10.1109/ICTAI.2017.00155(1008-1012)Online publication date: Nov-2017

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  1. Decisions for autonomous vehicles: integrating sensors, communication, and control

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    cover image ACM Conferences
    HiCoNS '14: Proceedings of the 3rd international conference on High confidence networked systems
    April 2014
    162 pages
    ISBN:9781450326520
    DOI:10.1145/2566468
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Publication History

    Published: 15 April 2014

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    Author Tags

    1. autonomous vehicles
    2. intelligent transportation

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    HiCoNS '14 Paper Acceptance Rate 12 of 18 submissions, 67%;
    Overall Acceptance Rate 30 of 55 submissions, 55%

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    • (2022)YOLO Algorithm Implementation for Real Time Object Detection and Tracking2022 IEEE Students Conference on Engineering and Systems (SCES)10.1109/SCES55490.2022.9887678(01-06)Online publication date: 1-Jul-2022
    • (2018)Mapping Ordinances and Tweets using Smart City Characteristics to Aid Opinion MiningCompanion Proceedings of the The Web Conference 201810.1145/3184558.3191632(1721-1728)Online publication date: 23-Apr-2018
    • (2017)Enhancing Autonomous Vehicles with Commonsense: Smart Mobility in Smart Cities2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI)10.1109/ICTAI.2017.00155(1008-1012)Online publication date: Nov-2017

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