MITO: A Millimeter-Wave Dataset and Simulator for Non-Line-of-Sight Perception
Read the original on arXiv Computer Vision →MITO is the first millimeter‑wave dataset featuring diverse everyday objects, collected with a UR5 robotic arm equipped with two mmWave radars and an RGB‑D camera. It includes over 24 million mmWave frames, 550 high‑resolution mmWave images in both line‑of‑sight and non‑line‑of‑sight conditions, along with RGB‑D images, segmentation masks, and raw signals for 76 objects. An open‑source simulator is provided to generate synthetic mmWave images from any 3D triangle mesh, and benchmarks for NLOS segmentation and classification are established to showcase the dataset’s utility.
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