{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T15:38:51Z","timestamp":1774021131468,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,5]],"date-time":"2023-07-05T00:00:00Z","timestamp":1688515200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,7,5]]},"DOI":"10.1145\/3594806.3594851","type":"proceedings-article","created":{"date-parts":[[2023,8,10]],"date-time":"2023-08-10T17:38:12Z","timestamp":1691689092000},"page":"187-191","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["An RGB-D Fusion System for Indoor Wheelchair Navigation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8978-1402","authenticated-orcid":false,"given":"Christos","family":"Sevastopoulos","sequence":"first","affiliation":[{"name":"Department of Computer Science and Computer Engineering, University of Texas at Arlington, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3428-2002","authenticated-orcid":false,"given":"Sneh","family":"Acharya","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Computer Engineering, University of Texas at Arlington, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-8831-6872","authenticated-orcid":false,"given":"Fillia","family":"Makedon","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Computer Engineering, University of Texas at Arlington, United States"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,8,10]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Enhancing Door Detection for Autonomous Mobile Robots with Environment-Specific Data Collection. arXiv preprint arXiv:2203.03959","author":"Antonazzi Michele","year":"2022","unstructured":"Michele Antonazzi, Matteo Luperto, Nicola Basilico, and N\u00a0Alberto Borghese. 2022. Enhancing Door Detection for Autonomous Mobile Robots with Environment-Specific Data Collection. arXiv preprint arXiv:2203.03959 (2022)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ECMR50962.2021.9568808"},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 4009\u20134018","author":"Bhat Shariq\u00a0Farooq","year":"2021","unstructured":"Shariq\u00a0Farooq Bhat, Ibraheem Alhashim, and Peter Wonka. 2021. Adabins: Depth estimation using adaptive bins. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 4009\u20134018."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01007"},{"key":"e_1_3_2_1_5_1","volume-title":"Translating natural language instructions for behavioral robot navigation with a multi-head attention mechanism. arXiv preprint arXiv:2006.00697","author":"Cerda-Mardini Patricio","year":"2020","unstructured":"Patricio Cerda-Mardini, Vladimir Araujo, and Alvaro Soto. 2020. Translating natural language instructions for behavioral robot navigation with a multi-head attention mechanism. arXiv preprint arXiv:2006.00697 (2020)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00041"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01212"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01112"},{"key":"e_1_3_2_1_9_1","volume-title":"When vision transformers outperform ResNets without pre-training or strong data augmentations. arXiv preprint arXiv:2106.01548","author":"Chen Xiangning","year":"2021","unstructured":"Xiangning Chen, Cho-Jui Hsieh, and Boqing Gong. 2021. When vision transformers outperform ResNets without pre-training or strong data augmentations. arXiv preprint arXiv:2106.01548 (2021)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2013.6630886"},{"key":"e_1_3_2_1_11_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_1_12_1","volume-title":"An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929","author":"Dosovitskiy Alexey","year":"2020","unstructured":"Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, 2020. An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)."},{"key":"e_1_3_2_1_13_1","volume-title":"Fusenet: Incorporating depth into semantic segmentation via fusion-based cnn architecture. In Computer Vision\u2013ACCV 2016: 13th Asian Conference on Computer Vision","author":"Hazirbas Caner","year":"2017","unstructured":"Caner Hazirbas, Lingni Ma, Csaba Domokos, and Daniel Cremers. 2017. Fusenet: Incorporating depth into semantic segmentation via fusion-based cnn architecture. In Computer Vision\u2013ACCV 2016: 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part I 13. Springer, 213\u2013228."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01553"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0263574708004773"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2017.2706727"},{"key":"e_1_3_2_1_18_1","volume-title":"CMX: Cross-modal fusion for RGB-X semantic segmentation with transformers. arXiv preprint arXiv:2203.04838","author":"Liu Huayao","year":"2022","unstructured":"Huayao Liu, Jiaming Zhang, Kailun Yang, Xinxin Hu, and Rainer Stiefelhagen. 2022. CMX: Cross-modal fusion for RGB-X semantic segmentation with transformers. arXiv preprint arXiv:2203.04838 (2022)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2014.10.017"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/MRA.2017.2746182"},{"key":"e_1_3_2_1_21_1","volume-title":"Do vision transformers see like convolutional neural networks?Advances in Neural Information Processing Systems 34","author":"Raghu Maithra","year":"2021","unstructured":"Maithra Raghu, Thomas Unterthiner, Simon Kornblith, Chiyuan Zhang, and Alexey Dosovitskiy. 2021. Do vision transformers see like convolutional neural networks?Advances in Neural Information Processing Systems 34 (2021), 12116\u201312128."},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01196"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/ROBOT.1997.614311"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.3390\/s140202644"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1656"},{"key":"e_1_3_2_1_26_1","volume-title":"Attention is all you need. Advances in neural information processing systems 30","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan\u00a0N Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01328"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01596"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.109019"},{"key":"e_1_3_2_1_30_1","volume-title":"Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration. arXiv preprint arXiv:2301.03398","author":"Yu Chao","year":"2023","unstructured":"Chao Yu, Xinyi Yang, Jiaxuan Gao, Jiayu Chen, Yunfei Li, Jijia Liu, Yunfei Xiang, Ruixin Huang, Huazhong Yang, Yi Wu, 2023. Asynchronous Multi-Agent Reinforcement Learning for Efficient Real-Time Multi-Robot Cooperative Exploration. arXiv preprint arXiv:2301.03398 (2023)."}],"event":{"name":"PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments","location":"Corfu Greece","acronym":"PETRA '23"},"container-title":["Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3594806.3594851","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3594806.3594851","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:01Z","timestamp":1750182541000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3594806.3594851"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,5]]},"references-count":30,"alternative-id":["10.1145\/3594806.3594851","10.1145\/3594806"],"URL":"https:\/\/doi.org\/10.1145\/3594806.3594851","relation":{},"subject":[],"published":{"date-parts":[[2023,7,5]]},"assertion":[{"value":"2023-08-10","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}