{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T06:46:28Z","timestamp":1772261188118,"version":"3.50.1"},"publisher-location":"Cham","reference-count":29,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031713965","type":"print"},{"value":"9783031713972","type":"electronic"}],"license":[{"start":{"date-parts":[[2024,10,25]],"date-time":"2024-10-25T00:00:00Z","timestamp":1729814400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,10,25]],"date-time":"2024-10-25T00:00:00Z","timestamp":1729814400000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-71397-2_18","type":"book-chapter","created":{"date-parts":[[2024,10,24]],"date-time":"2024-10-24T12:02:50Z","timestamp":1729771370000},"page":"287-301","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Camera Based AI Models Used with LiDAR Data for Improvement of Detected Object Parameters"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3864-076X","authenticated-orcid":false,"given":"Marek","family":"Nowakowski","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0004-8604-3905","authenticated-orcid":false,"given":"Jakub","family":"Kurylo","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0007-4895-6430","authenticated-orcid":false,"given":"Pham Huy","family":"Dang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,10,25]]},"reference":[{"key":"18_CR1","doi-asserted-by":"publisher","unstructured":"Giurgiu, T., Virca, I., Grigora\u0219, C., N\u0103st\u0103sescu, V.: Trends in development of military vehicles capabilities based on advanced technologies. In: International Conference KNOWLEDGE-BASED ORGANIZATION, vol. 29, no. 3, 3923, pp.15\u201322. https:\/\/doi.org\/10.2478\/kbo-2023-0070","DOI":"10.2478\/kbo-2023-0070"},{"key":"18_CR2","doi-asserted-by":"publisher","unstructured":"Kulkarni, P.P., Kutre, S.R., Muchandi, S.S., Patil, P., Patil, S.: Unmanned ground vehicle for security and surveillance. In: 2020 IEEE International Conference for Innovation in Technology (INOCON), pp. 1\u20135 (2020). https:\/\/doi.org\/10.1109\/INOCON50539.2020.9298296","DOI":"10.1109\/INOCON50539.2020.9298296"},{"key":"18_CR3","doi-asserted-by":"publisher","unstructured":"Whitson, J., Gorsich, D., Vantsevich, V., Letherwood, M., et al.: Military Unmanned Ground Vehicle Maneuver: A Review and Formulation, SAE Technical Paper 2023-01-0108, 2023. https:\/\/doi.org\/10.4271\/2023-01-0108","DOI":"10.4271\/2023-01-0108"},{"issue":"4","key":"18_CR4","doi-asserted-by":"publisher","first-page":"2304","DOI":"10.3390\/app13042304","volume":"13","author":"S Halder","year":"2023","unstructured":"Halder, S., Afsari, K.: Robots in inspection and monitoring of buildings and infrastructure: a systematic review. Appl. Sci. 13(4), 2304 (2023)","journal-title":"Appl. Sci."},{"issue":"9","key":"18_CR5","doi-asserted-by":"publisher","first-page":"2625","DOI":"10.1017\/S0263574723000577","volume":"41","author":"M He","year":"2023","unstructured":"He, M., et al.: State of the art and future trends in obstacle-surmounting unmanned ground vehicle configuration and dynamics. Robotica 41(9), 2625\u20132647 (2023). https:\/\/doi.org\/10.1017\/S0263574723000577","journal-title":"Robotica"},{"key":"18_CR6","doi-asserted-by":"publisher","unstructured":"G\u00f6k\u00e7e, B., Sonug\u00fcr, G.: Recognition of dynamic objects from UGVs using interconnected neuralnetwork-based computer vision system. Automatika 63(2), 244\u2013258 (2022). https:\/\/doi.org\/10.1080\/00051144.2022.2031539","DOI":"10.1080\/00051144.2022.2031539"},{"key":"18_CR7","unstructured":"Filipovi\u0107, V., Stefanovi\u0107, D., Pajevi\u0107, N., Grbovi\u0107, \u017d., Djuric, N., Pani\u0107, M.: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023, pp. 3645\u20133654 (2023)"},{"key":"18_CR8","doi-asserted-by":"publisher","unstructured":"Azar, A.T., Koubaa A.: Artificial Intelligence for Robotics and Autonomous Systems Applications, Volume 1093, 2023. ISBN: 978-3-031-28714-5, https:\/\/doi.org\/10.1007\/978-3-031-28715-2","DOI":"10.1007\/978-3-031-28715-2"},{"key":"18_CR9","doi-asserted-by":"publisher","unstructured":"Gao, H., Cheng, S., Chen, Z., Song, X., Xu, Z., Xu, X.: Design and implementation of autonomous mapping system for UGV based on LiDAR. In: 2022 IEEE International Conference on Networking, Sensing and Control (ICNSC), Shanghai, China, 2022, pp. 1\u20136 (2022). https:\/\/doi.org\/10.1109\/ICNSC55942.2022.10004073","DOI":"10.1109\/ICNSC55942.2022.10004073"},{"key":"18_CR10","doi-asserted-by":"publisher","unstructured":"Murphy, K., Charter, D., Pasley, D., Lopez-Toledo, I., Soylemezoglu, A.: Towards modularity: integration strategy of radar into a LiDAR based robotics mapping platform. In: Mazal, J., et al. (eds.) Modelling and Simulation for Autonomous Systems. MESAS 2022. LNCS, vol. 13866, pp. 87\u2013108. Springer, Cham (2023). https:\/\/doi.org\/10.1007\/978-3-031-31268-7_6","DOI":"10.1007\/978-3-031-31268-7_6"},{"key":"18_CR11","doi-asserted-by":"publisher","unstructured":"Liu, O., Yuan, S., Li, Z.: A survey on sensor technologies for unmanned ground vehicles. In: 2020 3rd International Conference on Unmanned Systems (ICUS), Harbin, China, 2020, pp. 638\u2013645 (2020). https:\/\/doi.org\/10.1109\/ICUS50048.2020.9274845","DOI":"10.1109\/ICUS50048.2020.9274845"},{"key":"18_CR12","doi-asserted-by":"publisher","first-page":"8463","DOI":"10.3390\/s22218463","volume":"22","author":"F Islam","year":"2022","unstructured":"Islam, F., Nabi, M.M., Ball, J.E.: Off-Road detection analysis for autonomous ground vehicles: a review. Sensors 22, 8463 (2022). https:\/\/doi.org\/10.3390\/s22218463","journal-title":"Sensors"},{"key":"18_CR13","doi-asserted-by":"crossref","unstructured":"Velasco-Hernandez, G., Yeong, D.J., Barry, J., Walsh, J.: Autonomous driving architectures, perception and data fusion: a review. In: Proceedings of the 2020 IEEE 16th International Conference on Intelligent Computer Communication and Processing (ICCP 2020), Cluj-Napoca, Romania, 3\u20135 September 2020","DOI":"10.1109\/ICCP51029.2020.9266268"},{"key":"18_CR14","doi-asserted-by":"publisher","first-page":"1354","DOI":"10.3390\/s21041354","volume":"21","author":"Q Liu","year":"2021","unstructured":"Liu, Q., Li, Z., Yuan, S., Zhu, Y., Li, X.: Review on vehicle detection technology for unmanned ground vehicles. Sensors 21, 1354 (2021). https:\/\/doi.org\/10.3390\/s21041354","journal-title":"Sensors"},{"key":"18_CR15","doi-asserted-by":"crossref","unstructured":"Chang, B., Bai, K.: Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing. CRC Press, Boca Raton, London, New York (2018)","DOI":"10.1201\/9781315154602"},{"key":"18_CR16","doi-asserted-by":"crossref","unstructured":"Banerjee, K., Notz, D., Windelen, J., Gavarraju, S., He, M.: Online camera LiDAR fusion and object detection on hybrid data for autonomous driving. In: Proceedings of the 2018 IEEE Intelligent Vehicles Symposium (IV), Changshu, China, 26\u201330 June 2018","DOI":"10.1109\/IVS.2018.8500699"},{"key":"18_CR17","doi-asserted-by":"publisher","first-page":"648","DOI":"10.3390\/s19030648","volume":"19","author":"F Rosique","year":"2019","unstructured":"Rosique, F., Navarro, P.J., Fern\u00e1ndez, C., Padilla, A.: A systematic review of perception system and simulators for autonomous vehicles research. Sensors 19, 648 (2019)","journal-title":"Sensors"},{"key":"18_CR18","doi-asserted-by":"publisher","unstructured":"Ammar, N., Okatan, A.: Real-time visual target detection and tracking via unmanned ground vehicle. In: 2022 2nd International Conference on Computing and Machine Intelligence (ICMI), Istanbul, Turkey, 2022, pp. 1\u20136 (2022). https:\/\/doi.org\/10.1109\/ICMI55296.2022.9873647","DOI":"10.1109\/ICMI55296.2022.9873647"},{"key":"18_CR19","unstructured":"Li, H., Wu, X.: DenseFuse: A Fusion Approach to Infrared and Visible Images. arXiv 2018, arXiv:1804.08361"},{"key":"18_CR20","doi-asserted-by":"publisher","unstructured":"Wang, D., Lian, B., Liu, Y., Gao, B.: A cooperative UAV swarm localization algorithm based on probabilistic data association for visual measurement. IEEE Sens. J. 22(20), 19635\u201319644 (2022). https:\/\/doi.org\/10.1109\/JSEN.2022.3202356","DOI":"10.1109\/JSEN.2022.3202356"},{"key":"18_CR21","unstructured":"Qi, C.R., Su, H., Mo, K., Guibas, L.J.: PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. arXiv 2017, arXiv:1612.00593v2"},{"key":"18_CR22","doi-asserted-by":"publisher","unstructured":"Wang, C., Carlson, B., Han, Q.: Object recognition offloading in augmented reality assisted UAV-UGV systems. In: Proceedings of the Ninth Workshop on Micro Aerial Vehicle Networks, Systems, and Applications (DroNet \u201823). Association for Computing Machinery, New York, NY, USA, pp. 33\u201338 (2023). https:\/\/doi.org\/10.1145\/3597060.3597240","DOI":"10.1145\/3597060.3597240"},{"key":"18_CR23","doi-asserted-by":"publisher","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","volume":"39","author":"S Ren","year":"2017","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans. Pattern Anal. Mach. Intell. 39, 1137\u20131149 (2017)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"18_CR24","doi-asserted-by":"crossref","unstructured":"Kim, J., Kim, J., Cho, J.: An advanced object classification strategy using YOLO through camera and LiDAR sensor fusion. In: Proceedings of the 2019 13th International Conference on Signal Processing and Communication Systems (ICSPCS), Gold Coast, Australia, 16\u201318 December 2019","DOI":"10.1109\/ICSPCS47537.2019.9008742"},{"key":"18_CR25","unstructured":"Ouster. Available online: https:\/\/ouster.com\/"},{"key":"18_CR26","doi-asserted-by":"publisher","unstructured":"Rybansky, M., Hubacek, M., Capek, J., Kovarik, V., Dohnal, F.: Terrain passability mapping in the Czech Republic. Abstr. Int. Cartogr. Assoc. 6, 215 (2023). https:\/\/doi.org\/10.5194\/ica-abs-6-215-2023","DOI":"10.5194\/ica-abs-6-215-2023"},{"key":"18_CR27","unstructured":"https:\/\/www.stereolabs.com\/zed-2\/"},{"key":"18_CR28","doi-asserted-by":"publisher","first-page":"4892","DOI":"10.3390\/app13084892","volume":"13","author":"M Nowakowski","year":"2023","unstructured":"Nowakowski, M., Kurylo, J.: Usability of perception sensors to determine the obstacles of unmanned ground vehicles operating in off-road environments. Appl. Sci. 13, 4892 (2023). https:\/\/doi.org\/10.3390\/app13084892","journal-title":"Appl. Sci."},{"key":"18_CR29","doi-asserted-by":"crossref","unstructured":"Tsai, D., et al.: Optimising the selection of samples for robust LiDAR camera calibration. In: 2021 IEEE International Intelligent Transportation Systems Conference (ITSC). IEEE (2021)","DOI":"10.1109\/ITSC48978.2021.9564700"}],"container-title":["Lecture Notes in Computer Science","Modelling and Simulation for Autonomous Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-71397-2_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,24]],"date-time":"2024-10-24T12:05:45Z","timestamp":1729771545000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-71397-2_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,25]]},"ISBN":["9783031713965","9783031713972"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-71397-2_18","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10,25]]},"assertion":[{"value":"25 October 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"MESAS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Modelling and Simulation for Autonomous Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Palermo","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"10","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"mesas2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.mscoe.org\/event\/mesas-2023\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}