%0 Book
%T Computer Vision in Vehicle Technology: Land, Sea & Air
%A Antonio Lopez
%A Atsushi Imiya
%A Tomas Pajdla
%A Jose Manuel Alvarez
%D 2017
%I John Wiley & Sons, Ltd
%@ 978-1-118-86807-2
%F Antonio Lopez2017
%O ADAS; 600.118
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2937), last updated on Tue, 26 Apr 2022 20:24:15 +0200
%X 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.