Cite this DOI

Lokhande, S., Khan, M. S., & Pandey, G. (2021). Decision System for a Self-Driven Car. *Journal of Science & Technology*, *06*(01), 365–370. https://doi.org/10.46243/jst.2021.v6.i04.pp365-370

@article{lokhande2021decision,
  author    = {Lokhande, Shardul and Khan, Md Shehroz and Pandey, Gaurav},
  title     = {{Decision System for a Self-Driven Car}},
  journal   = {Journal of Science \& Technology},
  year      = {2021},
  month     = {aug},
  volume    = {06},
  number    = {01},
  pages     = {365--370},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2021.v6.i04.pp365-370},
  url       = {https://doi.org/10.46243/jst.2021.v6.i04.pp365-370},
  language  = {en},
  abstract  = {As the development in the sensor technology and as the accuracy of those sensors keep on upgrading, the perception of the surrounding environments and operational intricacy of the connected automated vehicles also enhances. In this paper, we propose an implementation of a decision-making system which is being developed for the control of autonomous vehicles. It focuses on the efficient usage of neural networks to realize the classification of traffic signs, detection of vehicles and the ultimate aim of a self-driven car that is to drive over any path without any human intervention. Unity based Udacity simulator can be modified to make variety of paths available to train and test the built autonomous car.}
}

TY  - JOUR
TI  - Decision System for a Self-Driven Car
AU  - Lokhande, Shardul
AU  - Khan, Md Shehroz
AU  - Pandey, Gaurav
JO  - Journal of Science & Technology
PY  - 2021
DA  - 2021/08/16/
VL  - 06
IS  - 01
SP  - 365
EP  - 370
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - As the development in the sensor technology and as the accuracy of those sensors keep on upgrading, the perception of the surrounding environments and operational intricacy of the connected automated vehicles also enhances. In this paper, we propose an implementation of a decision-making system which is being developed for the control of autonomous vehicles. It focuses on the efficient usage of neural networks to realize the classification of traffic signs, detection of vehicles and the ultimate aim of a self-driven car that is to drive over any path without any human intervention. Unity based Udacity simulator can be modified to make variety of paths available to train and test the built autonomous car.
DO  - 10.46243/jst.2021.v6.i04.pp365-370
UR  - https://doi.org/10.46243/jst.2021.v6.i04.pp365-370
ER  -

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    "DOI": "10.46243/jst.2021.v6.i04.pp365-370",
    "URL": "https://doi.org/10.46243/jst.2021.v6.i04.pp365-370",
    "title": "Decision System for a Self-Driven Car",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
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            "family": "Lokhande",
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    "language": "en",
    "abstract": "As the development in the sensor technology and as the accuracy of those sensors keep on upgrading, the perception of the surrounding environments and operational intricacy of the connected automated vehicles also enhances. In this paper, we propose an implementation of a decision-making system which is being developed for the control of autonomous vehicles. It focuses on the efficient usage of neural networks to realize the classification of traffic signs, detection of vehicles and the ultimate aim of a self-driven car that is to drive over any path without any human intervention. Unity based Udacity simulator can be modified to make variety of paths available to train and test the built autonomous car.",
    "ISSN": "2456-5660"
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From the record as registered (version 2) — the record and its history. Programs: https://registry.smartscholars.in/api.php?action=cite&doi=10.46243%2Fjst.2021.v6.i04.pp365-370 gives all four in one JSON answer.