{"653827":{"#nid":"653827","#data":{"type":"event","title":"Ph.D. Dissertation Defense - Kruttidipta Samal","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle\u003C\/strong\u003E\u003Cem\u003E:\u0026nbsp; \u003C\/em\u003E\u003Cem\u003EClosed Loop Perception for Resource Efficient Autonomous Systems\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee:\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Saibal Mukhopadhyay, ECE, Chair, Advisor\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Marilyn Wolf, ECE\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Tushar Krishna, ECE\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Shimeng Yu, ECE\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Hyesoon Kim, CoC\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EAutonomous Systems such as Autonomous Vehicles (AV), robots and drones are being developed for large scale deployments in real world applications such as transportation, agriculture, defense, urban planning etc. To operate safely in such diverse and dynamic scenarios, these systems must be aware of their own limitations and react accordingly. Closed-Loop Perception combines ideas from computer vision and control theory to create a perception system that can introspect and adapt to the real-time requirements of an Autonomous System operating in the wild.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Closed Loop Perception for Resource Efficient Autonomous Systems "}],"uid":"28475","created_gmt":"2021-12-17 22:56:49","changed_gmt":"2021-12-17 22:56:49","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-01-10T10:00:00-05:00","event_time_end":"2022-01-10T12:00:00-05:00","event_time_end_last":"2022-01-10T12:00:00-05:00","gmt_time_start":"2022-01-10 15:00:00","gmt_time_end":"2022-01-10 17:00:00","gmt_time_end_last":"2022-01-10 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"434381","name":"ECE Ph.D. Dissertation Defenses"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"},{"id":"1808","name":"graduate students"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}