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Author (up) Antonio Lopez; Atsushi Imiya; Tomas Pajdla; Jose Manuel Alvarez edit  isbn
  Title Closing Notes Type Book Whole
  Year 2017 Publication Computer Vision in Vehicle Technology: Land, Sea & Air Abbreviated Journal  
  Volume Issue Pages 161-163  
  Abstract Summary This chapter examines different vision-based commercial solutions for real-live problems related to vehicles. It is worth mentioning the recent astonishing performance of deep convolutional neural networks (DCNNs) in difficult visual tasks such as image classification, object recognition/localization/detection, and semantic segmentation. In fact,
different DCNN architectures are already being explored for low-level tasks such as optical flow and disparity computation, and higher level ones such as place recognition.
  Corporate Author Thesis  
  Publisher John Wiley & Sons, Ltd Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN 978-1-118-86807-2 Medium  
  Area Expedition Conference  
  Notes ADAS Approved no  
  Call Number Admin @ si @ LIP2017a Serial 2937  
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