Synthetic LiDAR Data Generation and Deterministic Downsampling for Point Cloud Classification on the Edge
Deploying three-dimensional deep learning frameworks to low-power embedded processors is bottlenecked by the unstructured nature of spatial data and the resource-intensive distance sorting algorithms often used before neural network inference. To address this gap, this paper presents a hardware-constrained workflow opt...