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Deep Fusion of Camera and LIDAR

Av: Medverkande: Materialtyp: ArtikelSerie: Utgivningsinformation: Karlsruhe, Germany KIT Scientific Publishing KIT Scientific Publishing [Imprint] 2026Beskrivning: 1 electronic resource (140 p.)Innehållstyp:
  • text
Medietyp:
  • computer
Bärartyp:
  • online resource
ISBN:
  • 9783731513261
  • 9783731513612
Ämnen: Onlineresurser: Sammanfattning: Fusing camera and LIDAR data in autonomous driving poses challenges such as accurate calibration, differing data representations, and extensive training data requirements. This dissertation addresses these by three contributions: a deep neural network for LIDAR-to-camera calibration, two depth completion approaches for processing sparse depth measurements in the image space, and a large-scale dataset of 93k RGB and depth images for training and evaluating deep networks.
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Fusing camera and LIDAR data in autonomous driving poses challenges such as accurate calibration, differing data representations, and extensive training data requirements. This dissertation addresses these by three contributions: a deep neural network for LIDAR-to-camera calibration, two depth completion approaches for processing sparse depth measurements in the image space, and a large-scale dataset of 93k RGB and depth images for training and evaluating deep networks.

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