Learning Super-resolved Depth from Active Gated Imaging

@article{Gruber2018LearningSD,
  title={Learning Super-resolved Depth from Active Gated Imaging},
  author={Tobias Gruber and Mariia Kokhova and Werner Ritter and Norbert Haala and Klaus C. J. Dietmayer},
  journal={2018 21st International Conference on Intelligent Transportation Systems (ITSC)},
  year={2018},
  pages={3051-3058}
}
  • Tobias Gruber, Mariia Kokhova, +2 authors Klaus C. J. Dietmayer
  • Published in
    21st International Conference…
    2018
  • Computer Science, Engineering
  • Environment perception for autonomous driving is doomed by the trade-off between range-accuracy and resolution: current sensors that deliver very precise depth information are usually restricted to low resolution because of technology or cost limitations. In this work, we exploit depth information from an active gated imaging system based on cost-sensitive diode and CMOS technology. Learning a mapping between pixel intensities of three gated slices and depth produces a super-resolved depth map… CONTINUE READING

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