Sonar2Depth: Acoustic-Based 3D Reconstruction Using cGANs
Nael Jaber,Bilal Wehbe,Frank Kirchner,Nael Jaber,Bilal Wehbe,Frank Kirchner
This work proposes the use of conditional Generative Adversarial Networks (cGANs) for acoustic-based 3D reconstruction. Acoustics being the most reliable sensor modality in underwater domains is accompanied with the loss of elevation angle in its images. The challenge of recovering the missing dimension in acoustic images have pushed researchers to try various methods and approaches over the past ...
