Development of TRINETRA: A Sensor Based Vision Enhancement System for Obstacle Detection on Railway Tracks

This paper presents the design and development of an innovative device TRINETRA: A sensor based vision enhancement system for obstacle detection on railway tracks. The TRINETRA is termed as Technological Research and Innovation for National Empowerment of Trains to Reduce Accidents. The authors have...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE sensors journal 2022-02, Vol.22 (4), p.3147-3156
Hauptverfasser: Kyatsandra, Anand Kumar, Saket, R. K., Kumar, Sachin, Sarita, Kumari, Vardhan, Aanchal Singh S., Vardhan, Akanksha Singh S.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 3156
container_issue 4
container_start_page 3147
container_title IEEE sensors journal
container_volume 22
creator Kyatsandra, Anand Kumar
Saket, R. K.
Kumar, Sachin
Sarita, Kumari
Vardhan, Aanchal Singh S.
Vardhan, Akanksha Singh S.
description This paper presents the design and development of an innovative device TRINETRA: A sensor based vision enhancement system for obstacle detection on railway tracks. The TRINETRA is termed as Technological Research and Innovation for National Empowerment of Trains to Reduce Accidents. The authors have developed a prototype of TRINETRA, which promises easy passage for trains in unknown environments such as zero visibility situations, fog, smog, and heavy rain. The prototype is based upon the integration of a camera, Radio Detection and Ranging (RADAR), and Infrared (IR) Light Amplification by Stimulated Emission of Radiation (LASER). The camera used in the prototype catches a long-range view of the track and presents it live on a mini screen fixed in the loco pilot cabin. A combined short, mid, and long-range radar sensor system is used to detect obstacles continuously in loco pilot blind spots on the track, particularly for collision avoidance assistance at high speed. The present work proposes a long-range laser IR illuminator with a wide range of color and mono cameras to aid clear and precise monitoring in zero visibility conditions, which is fixed on the front portion/engine of the locomotive/engine. The prototype experimental results for 2 m - 2 km distances have been performed on a live running train, which shows that the developed prototype tracks obstacles effectively during fog and smog conditions. The design concept, observation, prototype model, and other technical specifications have been presented, and satisfactory results were found.
doi_str_mv 10.1109/JSEN.2021.3140032
format Article
fullrecord <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_ieee_primary_9674911</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9674911</ieee_id><sourcerecordid>2627837211</sourcerecordid><originalsourceid>FETCH-LOGICAL-c293t-39e16fa0027885ee8d2b3125369c1bf7b6c5f590a4ed10cde1059ba1935ad0053</originalsourceid><addsrcrecordid>eNo9kMFKw0AQhoMoWKsPIF4WPKfu7GazWW-1jVopLbRRvIXNZoKpbVJ3U6Vvb2KLMDBz-P5_4PO8a6ADAKruXpbxbMAogwGHgFLOTrweCBH5IIPotLs59QMu38-9C-dWlIKSQva81Ri_cV1vN1g1pC5IspjM4mQxvCdDssTK1ZY8aIc5eStdWVckrj50ZfAPX-5dgxtStMw8c402ayRjbNA0HdnOQpfrH70nidXm0116Z4VeO7w67r73-hgno2d_On-ajIZT3zDFG58rhLDQlDIZRQIxylnGgQkeKgNZIbPQiEIoqgPMgZocgQqVaVBc6JxSwfve7aF3a-uvHbomXdU7W7UvUxa2pVwygJaCA2Vs7ZzFIt3acqPtPgWadkrTTmnaKU2PStvMzSFTIuI_r0IZqLbxF4-McVs</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2627837211</pqid></control><display><type>article</type><title>Development of TRINETRA: A Sensor Based Vision Enhancement System for Obstacle Detection on Railway Tracks</title><source>IEEE Electronic Library (IEL)</source><creator>Kyatsandra, Anand Kumar ; Saket, R. K. ; Kumar, Sachin ; Sarita, Kumari ; Vardhan, Aanchal Singh S. ; Vardhan, Akanksha Singh S.</creator><creatorcontrib>Kyatsandra, Anand Kumar ; Saket, R. K. ; Kumar, Sachin ; Sarita, Kumari ; Vardhan, Aanchal Singh S. ; Vardhan, Akanksha Singh S.</creatorcontrib><description>This paper presents the design and development of an innovative device TRINETRA: A sensor based vision enhancement system for obstacle detection on railway tracks. The TRINETRA is termed as Technological Research and Innovation for National Empowerment of Trains to Reduce Accidents. The authors have developed a prototype of TRINETRA, which promises easy passage for trains in unknown environments such as zero visibility situations, fog, smog, and heavy rain. The prototype is based upon the integration of a camera, Radio Detection and Ranging (RADAR), and Infrared (IR) Light Amplification by Stimulated Emission of Radiation (LASER). The camera used in the prototype catches a long-range view of the track and presents it live on a mini screen fixed in the loco pilot cabin. A combined short, mid, and long-range radar sensor system is used to detect obstacles continuously in loco pilot blind spots on the track, particularly for collision avoidance assistance at high speed. The present work proposes a long-range laser IR illuminator with a wide range of color and mono cameras to aid clear and precise monitoring in zero visibility conditions, which is fixed on the front portion/engine of the locomotive/engine. The prototype experimental results for 2 m - 2 km distances have been performed on a live running train, which shows that the developed prototype tracks obstacles effectively during fog and smog conditions. The design concept, observation, prototype model, and other technical specifications have been presented, and satisfactory results were found.</description><identifier>ISSN: 1530-437X</identifier><identifier>EISSN: 1558-1748</identifier><identifier>DOI: 10.1109/JSEN.2021.3140032</identifier><identifier>CODEN: ISJEAZ</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Accidents ; camera ; Cameras ; Collision avoidance ; Fog ; illuminator ; infrared laser ; Infrared radar ; Infrared radiation ; Locomotives ; Obstacle avoidance ; Prototypes ; radar ; Radar detection ; Radar tracking ; Rail transportation ; Railroad accidents &amp; safety ; Railway accidents ; Railway tracks ; reliability ; Sensors ; Smog ; Stimulated emission ; Trains ; TRINETRA ; Unknown environments ; Visibility ; Vision</subject><ispartof>IEEE sensors journal, 2022-02, Vol.22 (4), p.3147-3156</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-39e16fa0027885ee8d2b3125369c1bf7b6c5f590a4ed10cde1059ba1935ad0053</citedby><cites>FETCH-LOGICAL-c293t-39e16fa0027885ee8d2b3125369c1bf7b6c5f590a4ed10cde1059ba1935ad0053</cites><orcidid>0000-0003-4357-3282 ; 0000-0001-7307-317X ; 0000-0002-2773-9599 ; 0000-0003-3091-798X ; 0000-0002-5300-5169 ; 0000-0003-1517-7450</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9674911$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/9674911$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kyatsandra, Anand Kumar</creatorcontrib><creatorcontrib>Saket, R. K.</creatorcontrib><creatorcontrib>Kumar, Sachin</creatorcontrib><creatorcontrib>Sarita, Kumari</creatorcontrib><creatorcontrib>Vardhan, Aanchal Singh S.</creatorcontrib><creatorcontrib>Vardhan, Akanksha Singh S.</creatorcontrib><title>Development of TRINETRA: A Sensor Based Vision Enhancement System for Obstacle Detection on Railway Tracks</title><title>IEEE sensors journal</title><addtitle>JSEN</addtitle><description>This paper presents the design and development of an innovative device TRINETRA: A sensor based vision enhancement system for obstacle detection on railway tracks. The TRINETRA is termed as Technological Research and Innovation for National Empowerment of Trains to Reduce Accidents. The authors have developed a prototype of TRINETRA, which promises easy passage for trains in unknown environments such as zero visibility situations, fog, smog, and heavy rain. The prototype is based upon the integration of a camera, Radio Detection and Ranging (RADAR), and Infrared (IR) Light Amplification by Stimulated Emission of Radiation (LASER). The camera used in the prototype catches a long-range view of the track and presents it live on a mini screen fixed in the loco pilot cabin. A combined short, mid, and long-range radar sensor system is used to detect obstacles continuously in loco pilot blind spots on the track, particularly for collision avoidance assistance at high speed. The present work proposes a long-range laser IR illuminator with a wide range of color and mono cameras to aid clear and precise monitoring in zero visibility conditions, which is fixed on the front portion/engine of the locomotive/engine. The prototype experimental results for 2 m - 2 km distances have been performed on a live running train, which shows that the developed prototype tracks obstacles effectively during fog and smog conditions. The design concept, observation, prototype model, and other technical specifications have been presented, and satisfactory results were found.</description><subject>Accidents</subject><subject>camera</subject><subject>Cameras</subject><subject>Collision avoidance</subject><subject>Fog</subject><subject>illuminator</subject><subject>infrared laser</subject><subject>Infrared radar</subject><subject>Infrared radiation</subject><subject>Locomotives</subject><subject>Obstacle avoidance</subject><subject>Prototypes</subject><subject>radar</subject><subject>Radar detection</subject><subject>Radar tracking</subject><subject>Rail transportation</subject><subject>Railroad accidents &amp; safety</subject><subject>Railway accidents</subject><subject>Railway tracks</subject><subject>reliability</subject><subject>Sensors</subject><subject>Smog</subject><subject>Stimulated emission</subject><subject>Trains</subject><subject>TRINETRA</subject><subject>Unknown environments</subject><subject>Visibility</subject><subject>Vision</subject><issn>1530-437X</issn><issn>1558-1748</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMFKw0AQhoMoWKsPIF4WPKfu7GazWW-1jVopLbRRvIXNZoKpbVJ3U6Vvb2KLMDBz-P5_4PO8a6ADAKruXpbxbMAogwGHgFLOTrweCBH5IIPotLs59QMu38-9C-dWlIKSQva81Ri_cV1vN1g1pC5IspjM4mQxvCdDssTK1ZY8aIc5eStdWVckrj50ZfAPX-5dgxtStMw8c402ayRjbNA0HdnOQpfrH70nidXm0116Z4VeO7w67r73-hgno2d_On-ajIZT3zDFG58rhLDQlDIZRQIxylnGgQkeKgNZIbPQiEIoqgPMgZocgQqVaVBc6JxSwfve7aF3a-uvHbomXdU7W7UvUxa2pVwygJaCA2Vs7ZzFIt3acqPtPgWadkrTTmnaKU2PStvMzSFTIuI_r0IZqLbxF4-McVs</recordid><startdate>20220215</startdate><enddate>20220215</enddate><creator>Kyatsandra, Anand Kumar</creator><creator>Saket, R. K.</creator><creator>Kumar, Sachin</creator><creator>Sarita, Kumari</creator><creator>Vardhan, Aanchal Singh S.</creator><creator>Vardhan, Akanksha Singh S.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0003-4357-3282</orcidid><orcidid>https://orcid.org/0000-0001-7307-317X</orcidid><orcidid>https://orcid.org/0000-0002-2773-9599</orcidid><orcidid>https://orcid.org/0000-0003-3091-798X</orcidid><orcidid>https://orcid.org/0000-0002-5300-5169</orcidid><orcidid>https://orcid.org/0000-0003-1517-7450</orcidid></search><sort><creationdate>20220215</creationdate><title>Development of TRINETRA: A Sensor Based Vision Enhancement System for Obstacle Detection on Railway Tracks</title><author>Kyatsandra, Anand Kumar ; Saket, R. K. ; Kumar, Sachin ; Sarita, Kumari ; Vardhan, Aanchal Singh S. ; Vardhan, Akanksha Singh S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-39e16fa0027885ee8d2b3125369c1bf7b6c5f590a4ed10cde1059ba1935ad0053</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Accidents</topic><topic>camera</topic><topic>Cameras</topic><topic>Collision avoidance</topic><topic>Fog</topic><topic>illuminator</topic><topic>infrared laser</topic><topic>Infrared radar</topic><topic>Infrared radiation</topic><topic>Locomotives</topic><topic>Obstacle avoidance</topic><topic>Prototypes</topic><topic>radar</topic><topic>Radar detection</topic><topic>Radar tracking</topic><topic>Rail transportation</topic><topic>Railroad accidents &amp; safety</topic><topic>Railway accidents</topic><topic>Railway tracks</topic><topic>reliability</topic><topic>Sensors</topic><topic>Smog</topic><topic>Stimulated emission</topic><topic>Trains</topic><topic>TRINETRA</topic><topic>Unknown environments</topic><topic>Visibility</topic><topic>Vision</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kyatsandra, Anand Kumar</creatorcontrib><creatorcontrib>Saket, R. K.</creatorcontrib><creatorcontrib>Kumar, Sachin</creatorcontrib><creatorcontrib>Sarita, Kumari</creatorcontrib><creatorcontrib>Vardhan, Aanchal Singh S.</creatorcontrib><creatorcontrib>Vardhan, Akanksha Singh S.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE sensors journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kyatsandra, Anand Kumar</au><au>Saket, R. K.</au><au>Kumar, Sachin</au><au>Sarita, Kumari</au><au>Vardhan, Aanchal Singh S.</au><au>Vardhan, Akanksha Singh S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Development of TRINETRA: A Sensor Based Vision Enhancement System for Obstacle Detection on Railway Tracks</atitle><jtitle>IEEE sensors journal</jtitle><stitle>JSEN</stitle><date>2022-02-15</date><risdate>2022</risdate><volume>22</volume><issue>4</issue><spage>3147</spage><epage>3156</epage><pages>3147-3156</pages><issn>1530-437X</issn><eissn>1558-1748</eissn><coden>ISJEAZ</coden><abstract>This paper presents the design and development of an innovative device TRINETRA: A sensor based vision enhancement system for obstacle detection on railway tracks. The TRINETRA is termed as Technological Research and Innovation for National Empowerment of Trains to Reduce Accidents. The authors have developed a prototype of TRINETRA, which promises easy passage for trains in unknown environments such as zero visibility situations, fog, smog, and heavy rain. The prototype is based upon the integration of a camera, Radio Detection and Ranging (RADAR), and Infrared (IR) Light Amplification by Stimulated Emission of Radiation (LASER). The camera used in the prototype catches a long-range view of the track and presents it live on a mini screen fixed in the loco pilot cabin. A combined short, mid, and long-range radar sensor system is used to detect obstacles continuously in loco pilot blind spots on the track, particularly for collision avoidance assistance at high speed. The present work proposes a long-range laser IR illuminator with a wide range of color and mono cameras to aid clear and precise monitoring in zero visibility conditions, which is fixed on the front portion/engine of the locomotive/engine. The prototype experimental results for 2 m - 2 km distances have been performed on a live running train, which shows that the developed prototype tracks obstacles effectively during fog and smog conditions. The design concept, observation, prototype model, and other technical specifications have been presented, and satisfactory results were found.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/JSEN.2021.3140032</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-4357-3282</orcidid><orcidid>https://orcid.org/0000-0001-7307-317X</orcidid><orcidid>https://orcid.org/0000-0002-2773-9599</orcidid><orcidid>https://orcid.org/0000-0003-3091-798X</orcidid><orcidid>https://orcid.org/0000-0002-5300-5169</orcidid><orcidid>https://orcid.org/0000-0003-1517-7450</orcidid></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1530-437X
ispartof IEEE sensors journal, 2022-02, Vol.22 (4), p.3147-3156
issn 1530-437X
1558-1748
language eng
recordid cdi_ieee_primary_9674911
source IEEE Electronic Library (IEL)
subjects Accidents
camera
Cameras
Collision avoidance
Fog
illuminator
infrared laser
Infrared radar
Infrared radiation
Locomotives
Obstacle avoidance
Prototypes
radar
Radar detection
Radar tracking
Rail transportation
Railroad accidents & safety
Railway accidents
Railway tracks
reliability
Sensors
Smog
Stimulated emission
Trains
TRINETRA
Unknown environments
Visibility
Vision
title Development of TRINETRA: A Sensor Based Vision Enhancement System for Obstacle Detection on Railway Tracks
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T16%3A14%3A26IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Development%20of%20TRINETRA:%20A%20Sensor%20Based%20Vision%20Enhancement%20System%20for%20Obstacle%20Detection%20on%20Railway%20Tracks&rft.jtitle=IEEE%20sensors%20journal&rft.au=Kyatsandra,%20Anand%20Kumar&rft.date=2022-02-15&rft.volume=22&rft.issue=4&rft.spage=3147&rft.epage=3156&rft.pages=3147-3156&rft.issn=1530-437X&rft.eissn=1558-1748&rft.coden=ISJEAZ&rft_id=info:doi/10.1109/JSEN.2021.3140032&rft_dat=%3Cproquest_RIE%3E2627837211%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2627837211&rft_id=info:pmid/&rft_ieee_id=9674911&rfr_iscdi=true