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Link to original content: https://api.crossref.org/works/10.3390/S23084075
{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T18:57:32Z","timestamp":1732042652160},"reference-count":177,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2023,4,18]],"date-time":"2023-04-18T00:00:00Z","timestamp":1681776000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100006013","name":"United Arab Emirates University","doi-asserted-by":"publisher","award":["31R271"],"id":[{"id":"10.13039\/501100006013","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"Autonomous driving of higher automation levels asks for optimal execution of critical maneuvers in all environments. A crucial prerequisite for such optimal decision-making instances is accurate situation awareness of automated and connected vehicles. For this, vehicles rely on the sensory data captured from onboard sensors and information collected through V2X communication. The classical onboard sensors exhibit different capabilities and hence a heterogeneous set of sensors is required to create better situation awareness. Fusion of the sensory data from such a set of heterogeneous sensors poses critical challenges when it comes to creating an accurate environment context for effective decision-making in AVs. Hence this exclusive survey analyses the influence of mandatory factors like data pre-processing preferably data fusion along with situation awareness toward effective decision-making in the AVs. A wide range of recent and related articles are analyzed from various perceptive, to pick the major hiccups, which can be further addressed to focus on the goals of higher automation levels. A section of the solution sketch is provided that directs the readers to the potential research directions for achieving accurate contextual awareness. To the best of our knowledge, this survey is uniquely positioned for its scope, taxonomy, and future directions.<\/jats:p>","DOI":"10.3390\/s23084075","type":"journal-article","created":{"date-parts":[[2023,4,19]],"date-time":"2023-04-19T05:39:05Z","timestamp":1681882745000},"page":"4075","source":"Crossref","is-referenced-by-count":9,"title":["Analyzing Factors Influencing Situation Awareness in Autonomous Vehicles\u2014A Survey"],"prefix":"10.3390","volume":"23","author":[{"given":"Henry Alexander","family":"Ignatious","sequence":"first","affiliation":[{"name":"College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates"}]},{"ORCID":"http:\/\/orcid.org\/0000-0002-7488-0915","authenticated-orcid":false,"given":"Hesham","family":"El-Sayed","sequence":"additional","affiliation":[{"name":"College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates"},{"name":"Emirates Center for Mobility Research, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates"}]},{"given":"Manzoor Ahmed","family":"Khan","sequence":"additional","affiliation":[{"name":"College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates"},{"name":"Emirates Center for Mobility Research, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates"}]},{"given":"Bassem Mahmoud","family":"Mokhtar","sequence":"additional","affiliation":[{"name":"College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates"},{"name":"School of Electronics, Communications and Computer Engineering, Egypt-Japan University of Science and Technology, Alexandria 21934, Egypt"}]}],"member":"1968","published-online":{"date-parts":[[2023,4,18]]},"reference":[{"key":"ref_1","unstructured":"Korosec, K. (2022, November 13). Aptiv\u2019s Self-Driving Cars Have Given 100,000 Paid Rides on the Lyft App. Available online: https:\/\/utulsa.edu\/aptivs-self-driving-cars-have-given-100000-paid-rides-on-lyft-app."},{"key":"ref_2","unstructured":"(2022, November 13). Nissan Motor Corporation Businesses Need Smarter Tech in Their Fleets to Survive E-Commerce Boom. Available online: https:\/\/alliancernm.com\/2019\/02\/26\/businesses-need-smarter-tech-in-their-fleets-to-survive-e-commerce-boom."},{"key":"ref_3","unstructured":"Reinhart, R. (2022, November 13). Americans Hit the Brakes on Self-Driving Cars. 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