UHRCS: A High-Throughput Platform for Real-time Cameras-Sampling based on UE4.

Nowadays, simulation environments are widely used in different research fields. As the complexity of the problem increases, Cameras-Sampling in a simulation environment is important since it can provide highly realistic training data for online machine learning and reinforcement learning, etc. This paper attempts to improve the throughput and efficiency when multiple camera sampling are performed simultaneously. We implement a high-throughput platform for Real-time Cameras-Sampling based on Unreal Engine 4. The platform uses multi-graphics queues to support multi-cameras sampling in parallel. We construct a virtual desert scene to verify the correctness and effectiveness of the proposed platform. The experiments show that the proposed platform can generate eight 960x640 pixels pictures at a frequency of 30Hz. The throughput and GPU utilization have been increased by 2.57x and 1.43x, respectively, compared with Unreal Engine4.