{"id":11030,"date":"2018-05-15T12:07:57","date_gmt":"2018-05-15T16:07:57","guid":{"rendered":"https:\/\/engineering.jhu.edu\/magazine-archive\/?p=11030"},"modified":"2018-05-15T12:27:53","modified_gmt":"2018-05-15T16:27:53","slug":"a-new-way-to-see","status":"publish","type":"post","link":"https:\/\/engineering.jhu.edu\/magazine-archive\/2018\/05\/a-new-way-to-see\/","title":{"rendered":"Upstarts: A New Way to See"},"content":{"rendered":"

\"Vehicles\"<\/a>In May 2016, a driver was killed when a car, operating on autopilot, failed to slow when a tractor-trailer crossed into its lane. Further investigation looked into the role of the car\u2019s camera: It\u00a0may not have been able to\u00a0detect the white truck against the backdrop of a bright sky.<\/p>\n

Looking for ways to alleviate this problem, Ralph Etienne-Cummings<\/a>, Trac Tran<\/a>, and Sang “Peter” Chin<\/a>, all professors in the Department of Electrical and Computer Engineering, and former graduate student Jie \u201cJack\u201d Zhang, MS \u201901<\/strong>, are developing a new kind of camera. Rather than each pixel encoding data from a single exposure and frame, as conventional digital cameras do, the pixels in this novel camera will each operate independently with their own exposures.<\/p>\n

\u201cSmart\u201d signal processing will stitch the resulting image together, generating an image less likely to be over- or underexposed or blurred and more akin to what the human eye sees. To help usher this device toward commercial development and production, the three professors recently received a $70,000 award from the Louis B. Thalheimer Fund for Translational Research<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

Johns Hopkins engineers are developing a new kind of camera to help self-driving vehicles better detect obstacles and surrounding traffic and prevent accidents.<\/p>\n","protected":false},"author":4,"featured_media":11020,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[24],"tags":[131,2748,2753,2758,2763,2768,2773,2778,2783],"class_list":["post-11030","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-impact","tag-department-of-electrical-and-computer-engineering","tag-jie-zhang","tag-jack-zhang","tag-ralph-etienne-cummings","tag-trac-tran","tag-peter-chin","tag-sang-peter-chin","tag-signal-processing","tag-louis-b-thalheimer-fund-for-translational-research","issue-summer-2018"],"acf":[],"yoast_head":"\nUpstarts: A New Way to See - JHU Engineering Magazine<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/engineering.jhu.edu\/magazine-archive\/2018\/05\/a-new-way-to-see\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Upstarts: A New Way to See - JHU Engineering Magazine\" \/>\n<meta property=\"og:description\" content=\"Johns Hopkins engineers are developing a new kind of camera to help self-driving vehicles better detect obstacles and surrounding traffic and prevent accidents.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/engineering.jhu.edu\/magazine-archive\/2018\/05\/a-new-way-to-see\/\" \/>\n<meta property=\"og:site_name\" content=\"JHU Engineering Magazine\" \/>\n<meta property=\"article:published_time\" content=\"2018-05-15T16:07:57+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2018-05-15T16:27:53+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/engineering.jhu.edu\/magazine-archive\/wp-content\/uploads\/2018\/05\/New-Way-to-See_THUMB.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"300\" \/>\n\t<meta property=\"og:image:height\" content=\"200\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Abby Lattes\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Abby Lattes\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"NewsArticle\",\"@id\":\"https:\\\/\\\/engineering.jhu.edu\\\/magazine-archive\\\/2018\\\/05\\\/a-new-way-to-see\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/engineering.jhu.edu\\\/magazine-archive\\\/2018\\\/05\\\/a-new-way-to-see\\\/\"},\"author\":{\"name\":\"Abby Lattes\",\"@id\":\"https:\\\/\\\/engineering.jhu.edu\\\/magazine-archive\\\/#\\\/schema\\\/person\\\/0244393be370fbc3ead8ec26062e9742\"},\"headline\":\"Upstarts: A New Way to See\",\"datePublished\":\"2018-05-15T16:07:57+00:00\",\"dateModified\":\"2018-05-15T16:27:53+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/engineering.jhu.edu\\\/magazine-archive\\\/2018\\\/05\\\/a-new-way-to-see\\\/\"},\"wordCount\":184,\"commentCount\":0,\"image\":{\"@id\":\"https:\\\/\\\/engineering.jhu.edu\\\/magazine-archive\\\/2018\\\/05\\\/a-new-way-to-see\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/engineering.jhu.edu\\\/magazine-archive\\\/wp-content\\\/uploads\\\/2018\\\/05\\\/New-Way-to-See_THUMB.jpg\",\"keywords\":[\"Department of Electrical and Computer Engineering\",\"Jie Zhang\",\"Jack Zhang\",\"Ralph Etienne-Cummings\",\"Trac Tran\",\"Peter Chin\",\"Sang Peter Chin\",\"Signal Processing\",\"Louis B. 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