Add to ORKGObject detection is one of necessary techniques for autonomous underwater vehicles (AUVs) to automate their missions. However, underwater object detection requires a large number of data images of target object. This paper proposes a method to generate highly reliable training images through sonar simulator and background noise templates. Sonar simulator has been developed to generate ideal images of target by modeling imaging mechanism of sonar sensor. To make the image realistic, background noise acquired in the blank water tank are added to the simulated images. Finally, the AUV could detect the target objects at sea using a convolutional neural network trained with the generated images without any field data which is difficult to obtain...
In the world of autonomous underwater vehicles (AUV) the prominent form of sensing has been sonar du...
One challenge in developing an underwater sonar algorithm is the lack of data. This paper proposes a...
This paper presents an image matching algorithm based on convolutional neural network (CNN) to aid i...
Underwater object detection in sonar images requires a large number of images of target objects. For...
This paper proposes a method to detect underwater objects using sonar image simulator and convolutio...
This paper proposes a method to detect underwater objects using sonar image simulator and convolutio...
This paper proposes a method that synthesizes realistic sonar images using a Generative Adversarial ...
This paper addresses an autonomous underwater vehicle (AUV) simulator with underwater image sonar an...
Underwater object recognition based on deployed mobile nodes (underwater vehicles) is difficult, bec...
This paper presents the development of underwater sonar imaging to support the command, control and ...
This paper proposes a method to synthesize realistic underwater sonar images using a ray tracing and...
Object detection and classification in the water enhances not only the application of the autonomous...
In this paper, a new approach to AUV autonomous obstacle avoidance is presented, which can be used t...
The exploration of oceans and sea beds is being made increasingly possible through the development o...
Sonar sensors are widely utilized underwater because they can observe long-ranged objects and are to...
In the world of autonomous underwater vehicles (AUV) the prominent form of sensing has been sonar du...
One challenge in developing an underwater sonar algorithm is the lack of data. This paper proposes a...
This paper presents an image matching algorithm based on convolutional neural network (CNN) to aid i...
Underwater object detection in sonar images requires a large number of images of target objects. For...
This paper proposes a method to detect underwater objects using sonar image simulator and convolutio...
This paper proposes a method to detect underwater objects using sonar image simulator and convolutio...
This paper proposes a method that synthesizes realistic sonar images using a Generative Adversarial ...
This paper addresses an autonomous underwater vehicle (AUV) simulator with underwater image sonar an...
Underwater object recognition based on deployed mobile nodes (underwater vehicles) is difficult, bec...
This paper presents the development of underwater sonar imaging to support the command, control and ...
This paper proposes a method to synthesize realistic underwater sonar images using a ray tracing and...
Object detection and classification in the water enhances not only the application of the autonomous...
In this paper, a new approach to AUV autonomous obstacle avoidance is presented, which can be used t...
The exploration of oceans and sea beds is being made increasingly possible through the development o...
Sonar sensors are widely utilized underwater because they can observe long-ranged objects and are to...
In the world of autonomous underwater vehicles (AUV) the prominent form of sensing has been sonar du...
One challenge in developing an underwater sonar algorithm is the lack of data. This paper proposes a...
This paper presents an image matching algorithm based on convolutional neural network (CNN) to aid i...