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...
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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 |
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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 & 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 & 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. 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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 & 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 & 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. 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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> |
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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 |
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