{"id":142884,"date":"2022-07-26T10:03:28","date_gmt":"2022-07-26T15:03:28","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2022\/07\/enhancing-the-safety-of-autonomous-vehicles-in-critical-scenarios"},"modified":"2022-07-26T10:03:28","modified_gmt":"2022-07-26T15:03:28","slug":"enhancing-the-safety-of-autonomous-vehicles-in-critical-scenarios","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2022\/07\/enhancing-the-safety-of-autonomous-vehicles-in-critical-scenarios","title":{"rendered":"Enhancing the safety of autonomous vehicles in critical scenarios"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/enhancing-the-safety-of-autonomous-vehicles-in-critical-scenarios3.jpg\"><\/a><\/p>\n<p>Researchers at Ulm University in Germany have recently developed a new framework that could help to make self-driving cars safer in urban and highly dynamic environments. This framework, presented in a paper pre-published on arXiv, is designed to identify potential threats around the vehicle in real-time.<\/p>\n<p>The team\u2019s paper builds on <a href=\"https:\/\/ieeexplore.ieee.org\/document\/9748024\">one of their previous studies<\/a>, featured in <i>IEEE Transactions on Intelligent Vehicles<\/i> earlier this year. This previous work was aimed at providing autonomous vehicles with situation-aware environment perception capabilities, thus making them more responsive in complex and dynamic unknown environments.<\/p>\n<p>\u201cThe core idea behind our work is to allocate perception resources only to areas around an automated <a href=\"https:\/\/techxplore.com\/tags\/vehicle\/\" rel=\"tag\" class=\"\">vehicle<\/a> that are relevant in its current situation (e.g., its current driving task) instead of the naive 360\u00b0 perception field,\u201d Matti Henning, one of the researchers who carried out the study, told TechXplore. \u201cIn this way, computational resources can be saved to increase the efficiency of automated vehicles.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Researchers at Ulm University in Germany have recently developed a new framework that could help to make self-driving cars safer in urban and highly dynamic environments. This framework, presented in a paper pre-published on arXiv, is designed to identify potential threats around the vehicle in real-time. The team\u2019s paper builds on one of their previous [\u2026]<\/p>\n","protected":false},"author":676,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6,1491],"tags":[],"class_list":["post-142884","post","type-post","status-publish","format-standard","hentry","category-robotics-ai","category-transportation"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/142884","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/676"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=142884"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/142884\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=142884"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=142884"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=142884"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}