PT Book
AU Antonio Lopez
   Atsushi Imiya
   Tomas Pajdla
   Jose Manuel Alvarez
TI Computer Vision in Vehicle Technology: Land, Sea & Air
PY 2017
AB 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.
ER