{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T17:02:18Z","timestamp":1790787738838,"version":"4.1.0"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,24]],"date-time":"2020-10-24T00:00:00Z","timestamp":1603497600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100000006","name":"Office of Naval Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,24]]},"DOI":"10.1109\/iros45743.2020.9341075","type":"proceedings-article","created":{"date-parts":[[2021,3,15]],"date-time":"2021-03-15T14:49:56Z","timestamp":1615819796000},"page":"11763-11769","source":"Crossref","is-referenced-by-count":15,"title":["Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles"],"prefix":"10.1109","author":[{"given":"Vishnu D.","family":"Sharma","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maymoonah","family":"Toubeh","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lifeng","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pratap","family":"Tokekar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1177\/0278364918781009"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.21314\/JOR.2000.038"},{"key":"ref12","article-title":"Rapidly-exploring random trees: A new tool for path planning","author":"lavalle","year":"1998"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2019.8793813"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IROS40897.2019.8968547"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487554"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2018.2867614"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/MSPEC.2018.8241731"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1007\/978-3-030-05816-6_22","article-title":"Redundant robot assignment on graphs with uncertain edge costs","author":"prorok","year":"2019","journal-title":"Distributed Autonomous Robotic Systems"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1007\/BFb0121195","article-title":"An analysis of approximations for maximizing submodular set functions–ii","author":"fisher","year":"1978","journal-title":"Polyhedral Combinatorics"},{"key":"ref4","article-title":"Natural-parameter networks: A class of probabilistic neural networks","author":"wang","year":"2016"},{"key":"ref3","article-title":"Uncertainty in deep learning","author":"gal","year":"2017","journal-title":"Ph D Dissertation"},{"key":"ref6","first-page":"1050","article-title":"Dropout as a bayesian approximation: Representing model uncertainty in deep learning","author":"gal","year":"2016","journal-title":"International Conference on Machine Learning"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00355"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-28619-4_10"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2020.2974682"},{"key":"ref2","first-page":"144","article-title":"An approximation algorithm for risk-averse submodular optimization","author":"zhou","year":"2018","journal-title":"International Workshop on the Algorithmic Foundations of Robotics"},{"key":"ref1","first-page":"82","article-title":"Risk-aware planning by extracting uncertainty from deep learning-based perception","author":"toubeh","year":"2018","journal-title":"AAAI 2018 Fall Symposium on Reasoning and Learning in Real-World Systems for Long-Term Autonomy"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-4120-1_14"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67361-5_40"},{"key":"ref22","article-title":"Semantic segmentation architectures implemented in pytorch","author":"shah","year":"2017"},{"key":"ref21","article-title":"Bayesian segnet: Model uncertainty in deep convolutional encoder-decoder architectures for scene understanding","author":"kendall","year":"2015"}],"event":{"name":"2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)","location":"Las Vegas, NV, USA","start":{"date-parts":[[2020,10,24]]},"end":{"date-parts":[[2021,1,24]]}},"container-title":["2020 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9340668\/9340635\/09341075.pdf?arnumber=9341075","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:57:36Z","timestamp":1656453456000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9341075\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,24]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/iros45743.2020.9341075","relation":{},"subject":[],"published":{"date-parts":[[2020,10,24]]}}}