{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T16:54:52Z","timestamp":1743094492495,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":20,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819603503"},{"type":"electronic","value":"9789819603510"}],"license":[{"start":{"date-parts":[[2024,11,20]],"date-time":"2024-11-20T00:00:00Z","timestamp":1732060800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,11,20]],"date-time":"2024-11-20T00:00:00Z","timestamp":1732060800000},"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\/978-981-96-0351-0_17","type":"book-chapter","created":{"date-parts":[[2024,11,23]],"date-time":"2024-11-23T18:47:27Z","timestamp":1732387647000},"page":"231-242","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["End-to-End Truck Speed Detection Using Deep Multi-task Learning"],"prefix":"10.1007","author":[{"given":"Zuo","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Richard O.","family":"Sinnott","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Krista A.","family":"Ehinger","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,11,20]]},"reference":[{"key":"17_CR1","doi-asserted-by":"crossref","unstructured":"Barros, J., Oliveira, L.: Deep speed estimation from synthetic and monocular data. In: 2021 IEEE Intelligent Vehicles Symposium (IV), pp. 668\u2013673. IEEE (2021)","DOI":"10.1109\/IV48863.2021.9575291"},{"key":"17_CR2","unstructured":"Bell, D., Xiao, W., James, P.: Accurate vehicle speed estimation from monocular camera footage. In: XXIV ISPRS Congress. Newcastle University (2020)"},{"key":"17_CR3","doi-asserted-by":"crossref","unstructured":"Bewley, A., Ge, Z., Ott, L., Ramos, F., Upcroft, B.: Simple online and realtime tracking. In: 2016 IEEE international conference on image processing (ICIP), pp. 3464\u20133468. IEEE (2016)","DOI":"10.1109\/ICIP.2016.7533003"},{"key":"17_CR4","doi-asserted-by":"crossref","unstructured":"Bhandary, N., MacKay, C., Richards, A., Tong, J., Anastasiu, D.C.: Robust classification of city roadway objects for traffic related applications. In: 2017 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation (SmartWorld\/SCALCOM\/UIC\/ATC\/CBDCom\/IOP\/SCI), pp.\u00a01\u20136. IEEE (2017)","DOI":"10.1109\/UIC-ATC.2017.8397668"},{"issue":"1","key":"17_CR5","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1023\/A:1007379606734","volume":"28","author":"R Caruana","year":"1997","unstructured":"Caruana, R.: Multitask learning. Mach. Learn. 28(1), 41\u201375 (1997)","journal-title":"Mach. Learn."},{"key":"17_CR6","unstructured":"CEOS: Tirtl. https:\/\/www.ceos.com.au\/products\/tirtl\/"},{"key":"17_CR7","doi-asserted-by":"crossref","unstructured":"Chen, Z., Zhong, B., Li, G., Zhang, S., Ji, R.: Siamese box adaptive network for visual tracking. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 6668\u20136677 (2020)","DOI":"10.1109\/CVPR42600.2020.00670"},{"key":"17_CR8","doi-asserted-by":"crossref","unstructured":"Hua, S., Kapoor, M., Anastasiu, D.C.: Vehicle tracking and speed estimation from traffic videos. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 153\u2013160 (2018)","DOI":"10.1109\/CVPRW.2018.00028"},{"key":"17_CR9","doi-asserted-by":"crossref","unstructured":"Huang, Z., Sinnott, R.O., Ehinger, K.A.: Truck speed detection through video streams. In: 2023 IEEE 19th International Conference on e-Science (e-Science), pp. 1\u201310. IEEE (2023)","DOI":"10.1109\/e-Science58273.2023.10254943"},{"key":"17_CR10","doi-asserted-by":"crossref","unstructured":"Ilg, E., Mayer, N., Saikia, T., Keuper, M., Dosovitskiy, A., Brox, T.: Flownet 2.0: evolution of optical flow estimation with deep networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2462\u20132470 (2017)","DOI":"10.1109\/CVPR.2017.179"},{"key":"17_CR11","doi-asserted-by":"crossref","unstructured":"Li, B., Wu, W., Wang, Q., Zhang, F., Xing, J., Yan, J.: SiamRPN++: evolution of Siamese visual tracking with very deep networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4282\u20134291 (2019)","DOI":"10.1109\/CVPR.2019.00441"},{"key":"17_CR12","unstructured":"Neven, D., De\u00a0Brabandere, B., Georgoulis, S., Proesmans, M., Van\u00a0Gool, L.: Fast scene understanding for autonomous driving. arXiv preprint arXiv:1708.02550 (2017)"},{"key":"17_CR13","doi-asserted-by":"crossref","unstructured":"Redmon, J., Farhadi, A.: Yolo9000: better, faster, stronger. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7263\u20137271 (2017)","DOI":"10.1109\/CVPR.2017.690"},{"key":"17_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"220","DOI":"10.1007\/978-3-030-59612-5_16","volume-title":"Big Data \u2013 BigData 2020","author":"P-Y Sun","year":"2020","unstructured":"Sun, P.-Y., Sun, W.-Y., Jin, Y., Sinnott, R.O.: Heavy vehicle classification through deep learning. In: Nepal, S., Cao, W., Nasridinov, A., Bhuiyan, M.D.Z.A., Guo, X., Zhang, L.-J. (eds.) BIGDATA 2020. LNCS, vol. 12402, pp. 220\u2013236. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-59612-5_16"},{"key":"17_CR15","unstructured":"Tan, M., Le, Q.: Efficientnet: rethinking model scaling for convolutional neural networks. In: International Conference on Machine Learning, pp. 6105\u20136114. PMLR (2019)"},{"key":"17_CR16","doi-asserted-by":"crossref","unstructured":"Teichmann, M., Weber, M., Zoellner, M., Cipolla, R., Urtasun, R.: Multinet: real-time joint semantic reasoning for autonomous driving. In: 2018 IEEE Intelligent Vehicles Symposium (IV), pp. 1013\u20131020. IEEE (2018)","DOI":"10.1109\/IVS.2018.8500504"},{"key":"17_CR17","doi-asserted-by":"crossref","unstructured":"Vandenhende, S., Georgoulis, S., Van\u00a0Gansbeke, W., Proesmans, M., Dai, D., Van\u00a0Gool, L.: Multi-task learning for dense prediction tasks: a survey. IEEE Trans. Pattern Anal. Mach. Intell. (2021)","DOI":"10.1109\/TPAMI.2021.3054719"},{"key":"17_CR18","doi-asserted-by":"crossref","unstructured":"Xu, D., Ouyang, W., Wang, X., Sebe, N.: Pad-net: multi-tasks guided prediction-and-distillation network for simultaneous depth estimation and scene parsing. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 675\u2013684 (2018)","DOI":"10.1109\/CVPR.2018.00077"},{"key":"17_CR19","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Yang, Q.: A survey on multi-task learning. IEEE Trans. Knowl. Data Eng. (2021)","DOI":"10.1109\/TKDE.2021.3070203"},{"key":"17_CR20","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1007\/978-3-030-01246-5_25","volume-title":"Computer Vision \u2013 ECCV 2018","author":"X Zhao","year":"2018","unstructured":"Zhao, X., Li, H., Shen, X., Liang, X., Wu, Y.: A modulation module for multi-task learning with applications in image retrieval. In: Ferrari, V., Hebert, M., Sminchisescu, C., Weiss, Y. (eds.) ECCV 2018. LNCS, vol. 11205, pp. 415\u2013432. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-030-01246-5_25"}],"container-title":["Lecture Notes in Computer Science","AI 2024: Advances in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-96-0351-0_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,23]],"date-time":"2024-11-23T19:05:55Z","timestamp":1732388755000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-96-0351-0_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,20]]},"ISBN":["9789819603503","9789819603510"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-981-96-0351-0_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024,11,20]]},"assertion":[{"value":"20 November 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australasian Joint Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Melbourne, VIC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Australia","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":"25 November 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 November 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"37","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ausai2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/ajcai2024.org\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}