{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T09:34:28Z","timestamp":1763458468081,"version":"3.44.0"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031948947"},{"type":"electronic","value":"9783031948954"}],"license":[{"start":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T00:00:00Z","timestamp":1756166400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,8,26]],"date-time":"2025-08-26T00:00:00Z","timestamp":1756166400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-031-94895-4_12","type":"book-chapter","created":{"date-parts":[[2025,8,25]],"date-time":"2025-08-25T07:25:14Z","timestamp":1756106714000},"page":"117-125","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Adaptive Multi-stage Sensor Fusion Under Neuro-Symbolic Framework for\u00a0The Multi-modal Ranging System in\u00a0Adverse Weather Conditions"],"prefix":"10.1007","author":[{"given":"Yajie","family":"Bao","sequence":"first","affiliation":[]},{"given":"Peng","family":"Cheng","sequence":"additional","affiliation":[]},{"given":"Ping","family":"Zhuang","sequence":"additional","affiliation":[]},{"given":"Yunqi","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Zhengyang","family":"Fan","sequence":"additional","affiliation":[]},{"given":"Genshe","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Erik","family":"Blasch","sequence":"additional","affiliation":[]},{"given":"Khanh","family":"Pham","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,8,26]]},"reference":[{"key":"12_CR1","doi-asserted-by":"crossref","unstructured":"Bai, X., et al.: TransFusion: robust lidar-camera fusion for 3d object detection with transformers. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 1090\u20131099 (2022)","DOI":"10.1109\/CVPR52688.2022.00116"},{"key":"12_CR2","doi-asserted-by":"crossref","unstructured":"Bao, Y., Shen, D., Chen, G., Pham, K., Blasch, E.: Resilient range-only cooperative positioning of multiple smart unmanned aerial systems. In: Security and Privacy in Cyber-Physical Systems and Smart Vehicles, pp. 130\u2013147. Springer, Cham (2024)","DOI":"10.1007\/978-3-031-51630-6_9"},{"issue":"2","key":"12_CR3","doi-asserted-by":"publisher","first-page":"719","DOI":"10.1109\/LCSYS.2020.3005429","volume":"5","author":"Y Bao","year":"2021","unstructured":"Bao, Y., Velni, J.M., Shahbakhti, M.: Epistemic uncertainty quantification in state-space LPV model identification using Bayesian neural networks. IEEE Control Syst. Lett. 5(2), 719\u2013724 (2021)","journal-title":"IEEE Control Syst. Lett."},{"key":"12_CR4","doi-asserted-by":"publisher","first-page":"126991","DOI":"10.1016\/j.neucom.2023.126991","volume":"564","author":"Y Bao","year":"2024","unstructured":"Bao, Y., Xing, T., Chen, X.: Confidence-based interactable neural-symbolic visual question answering. Neurocomputing 564, 126991 (2024)","journal-title":"Neurocomputing"},{"key":"12_CR5","doi-asserted-by":"crossref","unstructured":"Cholakkal, H.H., Mentasti, S., Bersani, M., Arrigoni, S., Matteucci, M., Cheli, F.: LiDAR - stereo camera fusion for accurate depth estimation. In: 2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE), pp.\u00a01\u20136 (2020)","DOI":"10.23919\/AEITAUTOMOTIVE50086.2020.9307398"},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"Cominelli, M., Gringoli, F., Kaplan, L.M., Srivastava, M.B., Cerutti, F.: Accurate passive radar via an uncertainty-aware fusion of Wi-Fi sensing data. In: 2023 26th International Conference on Information Fusion (FUSION), pp.\u00a01\u20138. IEEE (2023)","DOI":"10.23919\/FUSION52260.2023.10224098"},{"key":"12_CR7","doi-asserted-by":"crossref","unstructured":"Darema, F., Blasch, E., Ravela, S., Aved, A.J.: Handbook of Dynamic Data Driven Applications Systems, vol.\u00a02. Springer (2023)","DOI":"10.1007\/978-3-031-27986-7"},{"key":"12_CR8","doi-asserted-by":"crossref","unstructured":"Fan, Z., Chen, G., Chang, K., Khan, S., Franco, M.: Explainable deep reinforcement learning for space situational awareness: counterfactual explanation approach. In: 2024 IEEE Aerospace Conference, pp. 1\u201310. IEEE (2024)","DOI":"10.1109\/AERO58975.2024.10521144"},{"issue":"1","key":"12_CR9","doi-asserted-by":"publisher","first-page":"31","DOI":"10.3390\/fi16010031","volume":"16","author":"Z Fan","year":"2024","unstructured":"Fan, Z., Li, W., Laskey, K.B., Chang, K.C.: Investigation of phishing susceptibility with explainable artificial intelligence. Future Internet 16(1), 31 (2024)","journal-title":"Future Internet"},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Kahler, B., Blasch, E.: Sensor management fusion using operating conditions. In: 2008 IEEE National Aerospace and Electronics Conference, pp. 281\u2013288. IEEE (2008)","DOI":"10.1109\/NAECON.2008.4806559"},{"key":"12_CR11","doi-asserted-by":"crossref","unstructured":"Kim, T.L., Arshad, S., Park, T.H.: Adaptive feature attention module for robust visual\u2013LiDAR fusion-based object detection in adverse weather conditions. Remote Sens. 15(16) (2023)","DOI":"10.3390\/rs15163992"},{"key":"12_CR12","unstructured":"Kingma, D.P., Salimans, T., Welling, M.: Variational dropout and the local reparameterization trick. In: Advances in Neural Information Processing Systems, vol. 28 (2015)"},{"key":"12_CR13","unstructured":"Liang, T., et al.: BEVFusion: a simple and robust LiDAR-camera fusion framework. In: Advances in Neural Information Processing Systems, vol. 35, pp. 10421\u201310434 (2022)"},{"key":"12_CR14","unstructured":"Mao, J., Gan, C., Kohli, P., Tenenbaum, J.B., Wu, J.: The neuro-symbolic concept learner: interpreting scenes, words, and sentences from natural supervision. arXiv preprint arXiv:1904.12584 (2019)"},{"issue":"2","key":"12_CR15","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1016\/S1367-5788(02)00045-7","volume":"26","author":"JZ Sasiadek","year":"2002","unstructured":"Sasiadek, J.Z.: Sensor fusion. Annu. Rev. Control. 26(2), 203\u2013228 (2002)","journal-title":"Annu. Rev. Control."},{"key":"12_CR16","doi-asserted-by":"crossref","unstructured":"Tang, Q., Liang, J., Zhu, F.: A comparative review on multi-modal sensors fusion based on deep learning. Signal Process. 109165 (2023)","DOI":"10.1016\/j.sigpro.2023.109165"},{"key":"12_CR17","doi-asserted-by":"crossref","unstructured":"Tomsett, R., et al.: Rapid trust calibration through interpretable and uncertainty-aware AI. Patterns 1(4) (2020)","DOI":"10.1016\/j.patter.2020.100049"},{"issue":"7","key":"12_CR18","doi-asserted-by":"publisher","first-page":"44","DOI":"10.1109\/MAES.2020.3006410","volume":"36","author":"A Vakil","year":"2021","unstructured":"Vakil, A., Liu, J., Zulch, P., Blasch, E., Ewing, R., Li, J.: A survey of multimodal sensor fusion for passive RF and EO information integration. IEEE Aerosp. Electron. Syst. Mag. 36(7), 44\u201361 (2021)","journal-title":"IEEE Aerosp. Electron. Syst. Mag."},{"issue":"1","key":"12_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/LSENS.2018.2878908","volume":"3","author":"V Vielzeuf","year":"2018","unstructured":"Vielzeuf, V., Lechervy, A., Pateux, S., Jurie, F.: Multilevel sensor fusion with deep learning. IEEE Sens. Lett. 3(1), 1\u20134 (2018)","journal-title":"IEEE Sens. Lett."},{"key":"12_CR20","doi-asserted-by":"crossref","unstructured":"Wang, C., Ma, C., Zhu, M., Yang, X.: PointAugmenting: cross-modal augmentation for 3D object detection. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 11794\u201311803 (2021)","DOI":"10.1109\/CVPR46437.2021.01162"},{"key":"12_CR21","unstructured":"Yin, T., Zhou, X., Kr\u00e4henb\u00fchl, P.: Multimodal virtual point 3D detection. In: Advances in Neural Information Processing Systems, vol. 34, pp. 16494\u201316507 (2021)"},{"key":"12_CR22","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TIM.2022.3191724","volume":"71","author":"C Zhang","year":"2022","unstructured":"Zhang, C., et al.: Robust-FusionNet: deep multimodal sensor fusion for 3-D object detection under severe weather conditions. IEEE Trans. Instrum. Meas. 71, 1\u201313 (2022). https:\/\/doi.org\/10.1109\/TIM.2022.3191724","journal-title":"IEEE Trans. Instrum. Meas."}],"container-title":["Lecture Notes in Computer Science","Dynamic Data Driven Applications Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-94895-4_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,9]],"date-time":"2025-09-09T22:09:50Z","timestamp":1757455790000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-94895-4_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,26]]},"ISBN":["9783031948947","9783031948954"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-94895-4_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025,8,26]]},"assertion":[{"value":"26 August 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DDDAS\/Infosymbiotics for Reliable AI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Dynamic Data Driven Applications Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"New Brunswick, NJ","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dddas2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/dddas2024.rutgers.edu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}