{
    "ok": true,
    "doi": "10.46243/jst.2021.v6.i04.pp365-370",
    "events": [
        {
            "seq": 1,
            "kind": "register",
            "at": "2026-09-29 22:00:37",
            "by": "Administrator (admin)",
            "by_kind": "user",
            "note": "registered at Crossref; record read from api.crossref.org",
            "changes": [
                {
                    "path": "abstract.lang",
                    "from": null,
                    "to": "en"
                },
                {
                    "path": "abstract.value",
                    "from": null,
                    "to": "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."
                },
                {
                    "path": "agents.0.name.family",
                    "from": null,
                    "to": "Lokhande"
                },
                {
                    "path": "agents.0.name.given",
                    "from": null,
                    "to": "Shardul"
                },
                {
                    "path": "agents.0.role",
                    "from": null,
                    "to": "author"
                },
                {
                    "path": "agents.0.sequence",
                    "from": null,
                    "to": "first"
                },
                {
                    "path": "agents.1.name.family",
                    "from": null,
                    "to": "Khan"
                },
                {
                    "path": "agents.1.name.given",
                    "from": null,
                    "to": "Md Shehroz"
                },
                {
                    "path": "agents.1.role",
                    "from": null,
                    "to": "author"
                },
                {
                    "path": "agents.1.sequence",
                    "from": null,
                    "to": "additional"
                },
                {
                    "path": "agents.2.name.family",
                    "from": null,
                    "to": "Pandey"
                },
                {
                    "path": "agents.2.name.given",
                    "from": null,
                    "to": "Gaurav"
                },
                {
                    "path": "agents.2.role",
                    "from": null,
                    "to": "author"
                },
                {
                    "path": "agents.2.sequence",
                    "from": null,
                    "to": "additional"
                },
                {
                    "path": "agents.3.name.org",
                    "from": null,
                    "to": "Longman Publishers"
                },
                {
                    "path": "agents.3.role",
                    "from": null,
                    "to": "publisher"
                },
                {
                    "path": "characters.0",
                    "from": null,
                    "to": "Language"
                },
                {
                    "path": "container.identifiers.0.medium",
                    "from": null,
                    "to": "electronic"
                },
                {
                    "path": "container.identifiers.0.type",
                    "from": null,
                    "to": "ISSN"
                },
                {
                    "path": "container.identifiers.0.value",
                    "from": null,
                    "to": "2456-5660"
                },
                {
                    "path": "container.issue",
                    "from": null,
                    "to": "01"
                },
                {
                    "path": "container.pages.first",
                    "from": null,
                    "to": "365"
                },
                {
                    "path": "container.pages.last",
                    "from": null,
                    "to": "370"
                },
                {
                    "path": "container.titles.0.type",
                    "from": null,
                    "to": "PrincipalTitle"
                },
                {
                    "path": "container.titles.0.value",
                    "from": null,
                    "to": "Journal of Science &amp; Technology"
                },
                {
                    "path": "container.type",
                    "from": null,
                    "to": "Journal"
                },
                {
                    "path": "container.volume",
                    "from": null,
                    "to": "06"
                },
                {
                    "path": "dates.date_type",
                    "from": null,
                    "to": "PublicationDate"
                },
                {
                    "path": "dates.online",
                    "from": null,
                    "to": "2021-08-16"
                },
                {
                    "path": "dates.published",
                    "from": null,
                    "to": "2021-08-16"
                },
                {
                    "path": "doi",
                    "from": null,
                    "to": "10.46243/jst.2021.v6.i04.pp365-370"
                },
                {
                    "path": "format",
                    "from": null,
                    "to": "smartscholars-doi-metadata/1.0"
                },
                {
                    "path": "identifiers.0.type",
                    "from": null,
                    "to": "DOI"
                },
                {
                    "path": "identifiers.0.value",
                    "from": null,
                    "to": "10.46243/jst.2021.v6.i04.pp365-370"
                },
                {
                    "path": "language",
                    "from": null,
                    "to": "en"
                },
                {
                    "path": "license.applies_to",
                    "from": null,
                    "to": "vor"
                },
                {
                    "path": "license.start",
                    "from": null,
                    "to": "2021-08-16"
                },
                {
                    "path": "license.url",
                    "from": null,
                    "to": "https://creativecommons.org/licenses/by/4.0"
                },
                {
                    "path": "links.0.primary",
                    "from": null,
                    "to": true
                },
                {
                    "path": "links.0.return_type",
                    "from": null,
                    "to": "text/html"
                },
                {
                    "path": "links.0.url",
                    "from": null,
                    "to": "https://www.jst.org.in/index.php/pub/article/view/730"
                },
                {
                    "path": "links.1.purpose",
                    "from": null,
                    "to": "text-mining"
                },
                {
                    "path": "links.1.return_type",
                    "from": null,
                    "to": "application/pdf"
                },
                {
                    "path": "links.1.url",
                    "from": null,
                    "to": "https://www.jst.org.in/index.php/pub/article/download/730/658"
                },
                {
                    "path": "links.2.purpose",
                    "from": null,
                    "to": "text-mining"
                },
                {
                    "path": "links.2.return_type",
                    "from": null,
                    "to": "application/xml"
                },
                {
                    "path": "links.2.url",
                    "from": null,
                    "to": "https://www.jst.org.in/index.php/pub/article/download/730/2744"
                },
                {
                    "path": "links.3.purpose",
                    "from": null,
                    "to": "similarity-checking"
                },
                {
                    "path": "links.3.url",
                    "from": null,
                    "to": "https://www.jst.org.in/index.php/pub/article/view/730/658"
                },
                {
                    "path": "modes.0",
                    "from": null,
                    "to": "Visual"
                },
                {
                    "path": "record.issue_number",
                    "from": null,
                    "to": 1
                },
                {
                    "path": "record.registered",
                    "from": null,
                    "to": "2026-09-11"
                },
                {
                    "path": "record.registrant",
                    "from": null,
                    "to": "Longman Publishers"
                },
                {
                    "path": "record.source",
                    "from": null,
                    "to": "crossref-api"
                },
                {
                    "path": "record.source_agency",
                    "from": null,
                    "to": "Crossref (member 25296)"
                },
                {
                    "path": "record.updated",
                    "from": null,
                    "to": "2026-09-20"
                },
                {
                    "path": "references.0.doi",
                    "from": null,
                    "to": "10.1109/icrms.2018.00040"
                },
                {
                    "path": "references.0.key",
                    "from": null,
                    "to": "ref1"
                },
                {
                    "path": "references.0.unstructured",
                    "from": null,
                    "to": "D. Dong, X. Li and X. Sun, \"A Vision-Based Method for Improving the Safety of Self-Driving,\" 2018 12th International Conference on Reliability, Maintainability, and Safety (ICRMS), Shanghai, China, 2018, pp. 167-171"
                },
                {
                    "path": "references.1.key",
                    "from": null,
                    "to": "ref2"
                },
                {
                    "path": "references.1.unstructured",
                    "from": null,
                    "to": "Haar Romeny T B B, Florack L L, Swart M, et al.(2003). Deblurring Gaussian blur[M]// Front-End Vision and Multi-Scale Image Analysis. Springer Netherlands, 66-80. 369 | P a ge Published by: Longman Publishers www.jst.org.in 369 | Page August 2021"
                },
                {
                    "path": "references.2.doi",
                    "from": null,
                    "to": "10.1109/icpr.1990.118177"
                },
                {
                    "path": "references.2.key",
                    "from": null,
                    "to": "ref3"
                },
                {
                    "path": "references.2.unstructured",
                    "from": null,
                    "to": "Kultanen P, Xu L, Oja E.(1990). Randomized Hough transform (RHT)[C]// International Conference on Pattern Recognition, Proceedings. IEEE, 2002:631-635 vol.1"
                },
                {
                    "path": "references.3.key",
                    "from": null,
                    "to": "ref4"
                },
                {
                    "path": "references.3.unstructured",
                    "from": null,
                    "to": "Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal et al.(2016). End to End Learning for Self-Driving Cars. NVIDIA paper. 370 | P a ge Published by: Longman Publishers www.jst.org.in 370 | Page"
                },
                {
                    "path": "referent",
                    "from": null,
                    "to": "Creation"
                },
                {
                    "path": "structural_type",
                    "from": null,
                    "to": "Digital"
                },
                {
                    "path": "titles.0.lang",
                    "from": null,
                    "to": "en"
                },
                {
                    "path": "titles.0.type",
                    "from": null,
                    "to": "PrincipalTitle"
                },
                {
                    "path": "titles.0.value",
                    "from": null,
                    "to": "Decision System for a Self-Driven Car"
                },
                {
                    "path": "type",
                    "from": null,
                    "to": "JournalArticle"
                }
            ],
            "record_after": {
                "format": "smartscholars-doi-metadata/1.0",
                "doi": "10.46243/jst.2021.v6.i04.pp365-370",
                "referent": "Creation",
                "type": "JournalArticle",
                "structural_type": "Digital",
                "modes": [
                    "Visual"
                ],
                "characters": [
                    "Language"
                ],
                "titles": [
                    {
                        "value": "Decision System for a Self-Driven Car",
                        "type": "PrincipalTitle",
                        "lang": "en"
                    }
                ],
                "identifiers": [
                    {
                        "type": "DOI",
                        "value": "10.46243/jst.2021.v6.i04.pp365-370"
                    }
                ],
                "agents": [
                    {
                        "role": "author",
                        "name": {
                            "given": "Shardul",
                            "family": "Lokhande"
                        },
                        "sequence": "first"
                    },
                    {
                        "role": "author",
                        "name": {
                            "given": "Md Shehroz",
                            "family": "Khan"
                        },
                        "sequence": "additional"
                    },
                    {
                        "role": "author",
                        "name": {
                            "given": "Gaurav",
                            "family": "Pandey"
                        },
                        "sequence": "additional"
                    },
                    {
                        "role": "publisher",
                        "name": {
                            "org": "Longman Publishers"
                        }
                    }
                ],
                "dates": {
                    "published": "2021-08-16",
                    "date_type": "PublicationDate",
                    "online": "2021-08-16"
                },
                "language": "en",
                "container": {
                    "type": "Journal",
                    "titles": [
                        {
                            "value": "Journal of Science &amp; Technology",
                            "type": "PrincipalTitle"
                        }
                    ],
                    "identifiers": [
                        {
                            "type": "ISSN",
                            "value": "2456-5660",
                            "medium": "electronic"
                        }
                    ],
                    "volume": "06",
                    "issue": "01",
                    "pages": {
                        "first": "365",
                        "last": "370"
                    }
                },
                "links": [
                    {
                        "url": "https://www.jst.org.in/index.php/pub/article/view/730",
                        "return_type": "text/html",
                        "primary": true
                    },
                    {
                        "url": "https://www.jst.org.in/index.php/pub/article/download/730/658",
                        "purpose": "text-mining",
                        "return_type": "application/pdf"
                    },
                    {
                        "url": "https://www.jst.org.in/index.php/pub/article/download/730/2744",
                        "purpose": "text-mining",
                        "return_type": "application/xml"
                    },
                    {
                        "url": "https://www.jst.org.in/index.php/pub/article/view/730/658",
                        "purpose": "similarity-checking"
                    }
                ],
                "abstract": {
                    "value": "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.",
                    "lang": "en"
                },
                "license": {
                    "url": "https://creativecommons.org/licenses/by/4.0",
                    "start": "2021-08-16",
                    "applies_to": "vor"
                },
                "references": [
                    {
                        "key": "ref1",
                        "doi": "10.1109/icrms.2018.00040",
                        "unstructured": "D. Dong, X. Li and X. Sun, \"A Vision-Based Method for Improving the Safety of Self-Driving,\" 2018 12th International Conference on Reliability, Maintainability, and Safety (ICRMS), Shanghai, China, 2018, pp. 167-171"
                    },
                    {
                        "key": "ref2",
                        "unstructured": "Haar Romeny T B B, Florack L L, Swart M, et al.(2003). Deblurring Gaussian blur[M]// Front-End Vision and Multi-Scale Image Analysis. Springer Netherlands, 66-80. 369 | P a ge Published by: Longman Publishers www.jst.org.in 369 | Page August 2021"
                    },
                    {
                        "key": "ref3",
                        "doi": "10.1109/icpr.1990.118177",
                        "unstructured": "Kultanen P, Xu L, Oja E.(1990). Randomized Hough transform (RHT)[C]// International Conference on Pattern Recognition, Proceedings. IEEE, 2002:631-635 vol.1"
                    },
                    {
                        "key": "ref4",
                        "unstructured": "Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal et al.(2016). End to End Learning for Self-Driving Cars. NVIDIA paper. 370 | P a ge Published by: Longman Publishers www.jst.org.in 370 | Page"
                    }
                ],
                "record": {
                    "registrant": "Longman Publishers",
                    "registered": "2026-09-11",
                    "updated": "2026-09-20",
                    "issue_number": 1,
                    "source": "crossref-api",
                    "source_agency": "Crossref (member 25296)"
                }
            },
            "url_after": "https://www.jst.org.in/index.php/pub/article/view/730",
            "sha256_before": null,
            "sha256_after": "a286a01d4684d23649cdd9ae4522107846ab109b2cfb5a6cd645d2caa81482ad"
        },
        {
            "seq": 2,
            "kind": "update",
            "at": "2026-09-29 23:59:57",
            "by": "Administrator (admin)",
            "by_kind": "user",
            "note": "record re-read from api.crossref.org",
            "changes": [
                {
                    "path": "container.titles.0.value",
                    "from": "Journal of Science &amp; Technology",
                    "to": "Journal of Science & Technology"
                }
            ],
            "record_after": {
                "format": "smartscholars-doi-metadata/1.0",
                "doi": "10.46243/jst.2021.v6.i04.pp365-370",
                "referent": "Creation",
                "type": "JournalArticle",
                "structural_type": "Digital",
                "modes": [
                    "Visual"
                ],
                "characters": [
                    "Language"
                ],
                "titles": [
                    {
                        "value": "Decision System for a Self-Driven Car",
                        "type": "PrincipalTitle",
                        "lang": "en"
                    }
                ],
                "identifiers": [
                    {
                        "type": "DOI",
                        "value": "10.46243/jst.2021.v6.i04.pp365-370"
                    }
                ],
                "agents": [
                    {
                        "role": "author",
                        "name": {
                            "given": "Shardul",
                            "family": "Lokhande"
                        },
                        "sequence": "first"
                    },
                    {
                        "role": "author",
                        "name": {
                            "given": "Md Shehroz",
                            "family": "Khan"
                        },
                        "sequence": "additional"
                    },
                    {
                        "role": "author",
                        "name": {
                            "given": "Gaurav",
                            "family": "Pandey"
                        },
                        "sequence": "additional"
                    },
                    {
                        "role": "publisher",
                        "name": {
                            "org": "Longman Publishers"
                        }
                    }
                ],
                "dates": {
                    "published": "2021-08-16",
                    "date_type": "PublicationDate",
                    "online": "2021-08-16"
                },
                "language": "en",
                "container": {
                    "type": "Journal",
                    "titles": [
                        {
                            "value": "Journal of Science & Technology",
                            "type": "PrincipalTitle"
                        }
                    ],
                    "identifiers": [
                        {
                            "type": "ISSN",
                            "value": "2456-5660",
                            "medium": "electronic"
                        }
                    ],
                    "volume": "06",
                    "issue": "01",
                    "pages": {
                        "first": "365",
                        "last": "370"
                    }
                },
                "links": [
                    {
                        "url": "https://www.jst.org.in/index.php/pub/article/view/730",
                        "return_type": "text/html",
                        "primary": true
                    },
                    {
                        "url": "https://www.jst.org.in/index.php/pub/article/download/730/658",
                        "purpose": "text-mining",
                        "return_type": "application/pdf"
                    },
                    {
                        "url": "https://www.jst.org.in/index.php/pub/article/download/730/2744",
                        "purpose": "text-mining",
                        "return_type": "application/xml"
                    },
                    {
                        "url": "https://www.jst.org.in/index.php/pub/article/view/730/658",
                        "purpose": "similarity-checking"
                    }
                ],
                "abstract": {
                    "value": "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.",
                    "lang": "en"
                },
                "license": {
                    "url": "https://creativecommons.org/licenses/by/4.0",
                    "start": "2021-08-16",
                    "applies_to": "vor"
                },
                "references": [
                    {
                        "key": "ref1",
                        "doi": "10.1109/icrms.2018.00040",
                        "unstructured": "D. Dong, X. Li and X. Sun, \"A Vision-Based Method for Improving the Safety of Self-Driving,\" 2018 12th International Conference on Reliability, Maintainability, and Safety (ICRMS), Shanghai, China, 2018, pp. 167-171"
                    },
                    {
                        "key": "ref2",
                        "unstructured": "Haar Romeny T B B, Florack L L, Swart M, et al.(2003). Deblurring Gaussian blur[M]// Front-End Vision and Multi-Scale Image Analysis. Springer Netherlands, 66-80. 369 | P a ge Published by: Longman Publishers www.jst.org.in 369 | Page August 2021"
                    },
                    {
                        "key": "ref3",
                        "doi": "10.1109/icpr.1990.118177",
                        "unstructured": "Kultanen P, Xu L, Oja E.(1990). Randomized Hough transform (RHT)[C]// International Conference on Pattern Recognition, Proceedings. IEEE, 2002:631-635 vol.1"
                    },
                    {
                        "key": "ref4",
                        "unstructured": "Mariusz Bojarski, Davide Del Testa, Daniel Dworakowski, Bernhard Firner, Beat Flepp, Prasoon Goyal et al.(2016). End to End Learning for Self-Driving Cars. NVIDIA paper. 370 | P a ge Published by: Longman Publishers www.jst.org.in 370 | Page"
                    }
                ],
                "record": {
                    "registrant": "Longman Publishers",
                    "registered": "2026-09-11",
                    "updated": "2026-09-20",
                    "issue_number": 1,
                    "source": "crossref-api",
                    "source_agency": "Crossref (member 25296)"
                }
            },
            "url_after": "https://www.jst.org.in/index.php/pub/article/view/730",
            "sha256_before": "a286a01d4684d23649cdd9ae4522107846ab109b2cfb5a6cd645d2caa81482ad",
            "sha256_after": "957f671873eab28d8d6fd7de4215efc514e1ae0012937c9125b8d1c96b8f88d4"
        }
    ]
}