Real-virtual Point Cloud Augmentation Method for Test and Evaluation of Autonomous Weapon Systems
Saedong Yeo,
Gyuhwan Hwang,
Hyunsung Tae
Abstract:Autonomous weapon systems act according to artificial intelligence-based judgement based on recognition through various sensors. Test and evaluation for various scenarios is required depending on the characteristics that artificial intelligence-based judgement is made. As a part of this approach, this paper proposed a LiDAR point cloud augmentation method for mixed-reality based test and evaluation. The augmentation process is achieved by mixing real and virtual LiDAR signals based on the virtual LiDAR synchro… Show more
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