@inproceedings{ aly_real_2008,
  address = {Eindhoven, Netherlands},
  title = {Real time {Detection} of {Lane} {Markers} in {Urban} {Streets}},
  url = {http://arxiv.org/abs/1411.7113},
  doi = {10.1109/IVS.2008.4621152},
  abstract = {We present a robust and real time approach to lane marker detection in urban streets. It is based on generating a top view of the road, filtering using selective oriented Gaussian filters, using RANSAC line fitting to give initial guesses to a new and fast RANSAC algorithm for fitting Bezier Splines, which is then followed by a post-processing step. Our algorithm can detect all lanes in still images of the street in various conditions, while operating at a rate of 50 Hz and achieving comparable results to previous techniques.},
  urldate = {2015-05-03TZ},
  booktitle = {{arXiv}:1411.7113 [cs]},
  publisher = {IEEE},
  author = {Aly, Mohamed},
  month = {June},
  year = {2008},
  note = {00180 
arXiv: 1411.7113},
  keywords = {lane},
  pages = {7--12}
}

{"_id":"w45jFwFSbRuEgZjAX","bibbaseid":"aly-realtimedetectionoflanemarkersinurbanstreets-2008","downloads":0,"creationDate":"2015-09-03T07:18:47.293Z","title":"Real time Detection of Lane Markers in Urban Streets","author_short":["Aly, M."],"year":2008,"bibtype":"inproceedings","biburl":"http://bibbase.org/zotero/fred.qi","bibdata":{"abstract":"We present a robust and real time approach to lane marker detection in urban streets. It is based on generating a top view of the road, filtering using selective oriented Gaussian filters, using RANSAC line fitting to give initial guesses to a new and fast RANSAC algorithm for fitting Bezier Splines, which is then followed by a post-processing step. Our algorithm can detect all lanes in still images of the street in various conditions, while operating at a rate of 50 Hz and achieving comparable results to previous techniques.","address":"Eindhoven, Netherlands","author":["Aly, Mohamed"],"author_short":["Aly, M."],"bibtex":"@inproceedings{ aly_real_2008,\n address = {Eindhoven, Netherlands},\n title = {Real time {Detection} of {Lane} {Markers} in {Urban} {Streets}},\n url = {http://arxiv.org/abs/1411.7113},\n doi = {10.1109/IVS.2008.4621152},\n abstract = {We present a robust and real time approach to lane marker detection in urban streets. It is based on generating a top view of the road, filtering using selective oriented Gaussian filters, using RANSAC line fitting to give initial guesses to a new and fast RANSAC algorithm for fitting Bezier Splines, which is then followed by a post-processing step. Our algorithm can detect all lanes in still images of the street in various conditions, while operating at a rate of 50 Hz and achieving comparable results to previous techniques.},\n urldate = {2015-05-03TZ},\n booktitle = {{arXiv}:1411.7113 [cs]},\n publisher = {IEEE},\n author = {Aly, Mohamed},\n month = {June},\n year = {2008},\n note = {00180 \narXiv: 1411.7113},\n keywords = {lane},\n pages = {7--12}\n}","bibtype":"inproceedings","booktitle":"arXiv:1411.7113 [cs]","doi":"10.1109/IVS.2008.4621152","id":"aly_real_2008","key":"aly_real_2008","keywords":"lane","month":"June","note":"00180 arXiv: 1411.7113","pages":"7--12","publisher":"IEEE","title":"Real time Detection of Lane Markers in Urban Streets","type":"inproceedings","url":"http://arxiv.org/abs/1411.7113","urldate":"2015-05-03TZ","year":"2008","bibbaseid":"aly-realtimedetectionoflanemarkersinurbanstreets-2008","role":"author","urls":{"Paper":"http://arxiv.org/abs/1411.7113"},"keyword":["lane"],"downloads":0},"search_terms":["real","time","detection","lane","markers","urban","streets","aly"],"keywords":["lane"],"authorIDs":[],"dataSources":["y8en6y5RHukfeLuPH"]}