GPU Rasterization-Based 3D LiDAR Simulation for Deep Learning
Leon Denis,
Remco Royen,
Quentin Bolsée
et al.
Abstract:High-quality data are of utmost importance for any deep-learning application. However, acquiring such data and their annotation is challenging. This paper presents a GPU-accelerated simulator that enables the generation of high-quality, perfectly labelled data for any Time-of-Flight sensor, including LiDAR. Our approach optimally exploits the 3D graphics pipeline of the GPU, significantly decreasing data generation time while preserving compatibility with all real-time rendering engines. The presented algorith… Show more
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