Full-Scale Continuous Synthetic Sonar Data Generation with Markov Conditional Generative Adversarial Networks
Marija Jegorova,Antti Ilari Karjalainen,Jose Vazquez,Timothy Hospedales,Marija Jegorova,Antti Ilari Karjalainen,Jose Vazquez,Timothy Hospedales
Deployment and operation of autonomous underwater vehicles is expensive and time-consuming. High-quality realistic sonar data simulation could be of benefit to multiple applications, including training of human operators for post-mission analysis, as well as tuning and validation of autonomous target recognition (ATR) systems for underwater vehicles. Producing realistic synthetic sonar imagery is ...
