{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T04:14:06Z","timestamp":1747973646295,"version":"3.41.0"},"publisher-location":"Cham","reference-count":17,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319168401"},{"type":"electronic","value":"9783319168418"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1007\/978-3-319-16841-8_67","type":"book-chapter","created":{"date-parts":[[2015,4,15]],"date-time":"2015-04-15T02:09:54Z","timestamp":1429063794000},"page":"741-751","source":"Crossref","is-referenced-by-count":0,"title":["An Efficient Ego-Lane Detection Model to Avoid False-Positives Detection of Guardrails"],"prefix":"10.1007","author":[{"given":"Vitor S.","family":"Bottazzi","sequence":"first","affiliation":[]},{"given":"Jun","family":"Jo","sequence":"additional","affiliation":[]},{"given":"Bela","family":"Stantic","sequence":"additional","affiliation":[]},{"given":"Paulo V. K.","family":"Borges","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"doi-asserted-by":"crossref","unstructured":"Hur, J., Kang, S.N., Seo, S.W.: Multi-lane detection in urban driving environments using conditional random fields. In: 2013 IEEE Intelligent Vehicles Symposium (IV), pp. 1297\u20131302. IEEE (2013)","key":"67_CR1","DOI":"10.1109\/IVS.2013.6629645"},{"key":"67_CR2","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1109\/64.491277","volume":"11","author":"D. Pomerleau","year":"1996","unstructured":"Pomerleau, D., Jochem, T.: Rapidly adapting machine vision for automated vehicle steering. IEEE Expert\u00a011, 19\u201327 (1996)","journal-title":"IEEE Expert"},{"doi-asserted-by":"crossref","unstructured":"Bertozzi, M., Broggi, A.: Real-time lane and obstacle detection on the gold system. In: Proceedings of the 1996 IEEE Intelligent Vehicles Symposium, pp. 213\u2013218. IEEE (1996)","key":"67_CR3","DOI":"10.1109\/IVS.1996.566380"},{"doi-asserted-by":"crossref","unstructured":"Borkar, A., Hayes, M., Smith, M.: An efficient method to generate ground truth for evaluating lane detection systems. In: 2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), pp. 1090\u20131093. IEEE (2010)","key":"67_CR4","DOI":"10.1109\/ICASSP.2010.5495346"},{"key":"67_CR5","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1109\/70.760356","volume":"15","author":"C. Kreucher","year":"1999","unstructured":"Kreucher, C., Lakshmanan, S.: Lana: a lane extraction algorithm that uses frequency domain features. IEEE Transactions on Robotics and Automation\u00a015, 343\u2013350 (1999)","journal-title":"IEEE Transactions on Robotics and Automation"},{"doi-asserted-by":"crossref","unstructured":"Labayrade, R., Douret, J., Aubert, D.: A multi-model lane detector that handles road singularities. In: IEEE Intelligent Transportation Systems Conference, ITSC 2006, pp. 1143\u20131148. IEEE (2006)","key":"67_CR6","DOI":"10.1109\/ITSC.2006.1707376"},{"unstructured":"Lu, W., Florez, S.A.R., Seignez, E., Reynaud, R., et al.: An improved approach for vision-based lane marking detection and tracking. In: International Conference on Electrical, Control and Automation Engineering, pp. 382\u2013386 (2014)","key":"67_CR7"},{"key":"67_CR8","doi-asserted-by":"publisher","first-page":"319","DOI":"10.1016\/j.sigpro.2011.07.019","volume":"92","author":"Y. Wang","year":"2012","unstructured":"Wang, Y., Dahnoun, N., Achim, A.: A novel system for robust lane detection and tracking. Signal Processing\u00a092, 319\u2013334 (2012)","journal-title":"Signal Processing"},{"key":"67_CR9","doi-asserted-by":"publisher","first-page":"1083","DOI":"10.1109\/TITS.2013.2252427","volume":"14","author":"H. Yoo","year":"2013","unstructured":"Yoo, H., Yang, U., Sohn, K.: Gradient-enhancing conversion for illumination-robust lane detection. IEEE Transactions on Intelligent Transportation Systems\u00a014, 1083\u20131094 (2013)","journal-title":"IEEE Transactions on Intelligent Transportation Systems"},{"doi-asserted-by":"crossref","unstructured":"Sehestedt, S., Kodagoda, S., Alempijevic, A., Dissanayake, G.: Efficient lane detection and tracking in urban environments. In: Proc. European Conf. Mobile Robots, pp. 126\u2013131 (2007)","key":"67_CR10","DOI":"10.1109\/IROS.2007.4399388"},{"key":"67_CR11","doi-asserted-by":"publisher","first-page":"677","DOI":"10.1016\/S0167-8655(00)00021-0","volume":"21","author":"Y. Wang","year":"2000","unstructured":"Wang, Y., Shen, D.G., Teoh, E.K.: Lane detection using spline model. Pattern Recognition Letters\u00a021, 677\u2013689 (2000)","journal-title":"Pattern Recognition Letters"},{"doi-asserted-by":"crossref","unstructured":"Zhou, S., Jiang, Y., Xi, J., Gong, J., Xiong, G., Chen, H.: A novel lane detection based on geometrical model and gabor filter. In: IEEE Intelligent Vehicles Symposium, pp. 59\u201364 (2010)","key":"67_CR12","DOI":"10.1109\/IVS.2010.5548087"},{"doi-asserted-by":"crossref","unstructured":"Felisa, M., Zani, P.: Robust monocular lane detection in urban environments. In: 2010 IEEE Intelligent Vehicles Symposium (IV), pp. 591\u2013596. IEEE (2010)","key":"67_CR13","DOI":"10.1109\/IVS.2010.5548028"},{"doi-asserted-by":"crossref","unstructured":"Bottazzi, V.S., Borges, P.V., Jo, J.: A vision-based lane detection system combining appearance segmentation and tracking of salient points. In: 2013 IEEE Intelligent Vehicles Symposium (IV), pp. 443\u2013448. IEEE (2013)","key":"67_CR14","DOI":"10.1109\/IVS.2013.6629508"},{"key":"67_CR15","doi-asserted-by":"publisher","first-page":"221","DOI":"10.1023\/B:VISI.0000011205.11775.fd","volume":"56","author":"S. Baker","year":"2004","unstructured":"Baker, S., Matthews, I.: Lucas-kanade 20 years on: A unifying framework. International Journal of Computer Vision\u00a056, 221\u2013255 (2004)","journal-title":"International Journal of Computer Vision"},{"key":"67_CR16","series-title":"AISC","doi-asserted-by":"publisher","first-page":"677","DOI":"10.1007\/978-3-319-05582-4_58","volume-title":"Robot Intelligence Technology and Applications 2","author":"V.S. Bottazzi","year":"2014","unstructured":"Bottazzi, V.S., Borges, P.V.K., Stantic, B., Jo, J.: Adaptive regions of interest based on HSV histograms for lane marks detection. In: Kim, J.-H., Matson, E., Myung, H., Xu, P. (eds.) Robot Intelligence Technology and Applications 2. AISC, vol.\u00a0274, pp. 677\u2013687. Springer, Heidelberg (2014)"},{"doi-asserted-by":"crossref","unstructured":"Deusch, H., Wiest, J., Reuter, S., Szczot, M., Konrad, M., Dietmayer, K.: A random finite set approach to multiple lane detection. In: 2012 15th International IEEE Conference on Intelligent Transportation Systems (ITSC), pp. 270\u2013275. IEEE (2012)","key":"67_CR17","DOI":"10.1109\/ITSC.2012.6338772"}],"container-title":["Advances in Intelligent Systems and Computing","Robot Intelligence Technology and Applications 3"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-16841-8_67","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,22]],"date-time":"2025-05-22T15:06:27Z","timestamp":1747926387000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-16841-8_67"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015]]},"ISBN":["9783319168401","9783319168418"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-16841-8_67","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2015]]}}}