Live side-scan sonar stream is compressed to below 1.87 kbit/s and reconstructed to high-quality estimations on the receiving end.
Side-scan data is automatically processed to estimate boulder positions and generate metadata.
We present the SeaShark AUV; an in-house developed small, easily configurable, one-man-operational autonomous underwater vehicle (AUV)
Original underwater images are downsampled to a low-resolution low-size thumbnail to be transmitted over acoustics. We learn to reconstruct the transmitted low-res image to high-res super-resolved version.
We predict binary segmentation masks on sonar images to detect fishes.
We improve our previous BatVision sound-to-vision model.
We predict 2D and 3D spatial layout from binaural echolocation.
We predict the location and specie of fish in poor underwater images.