At the ADAS & Autonomous Vehicle Technology Summit North America Booth 4030, ROVR, a leading decentralized physical infrastructure network (DePIN), will announce the ROVR Open Dataset — a high-resolution, multi-modal dataset designed to drive innovation in Spatial AI, autonomous driving, robotics, and digital twin applications.

The dataset provides LiDAR point clouds, high-resolution video, IMU motion data, and centimeter-level RTK— all collected by ROVR’s custom hardware through a global contributor network. The initial release includes 1,300 synchronized clips (1TB) spanning urban, suburban, and highway environments, with diverse conditions such as construction zones, school crossings, and dense traffic. All data is anonymized to protect privacy.

“Spatial AI is the next frontier of artificial intelligence,” said Guang Ling, Founder of ROVR. “By making real-world, multi-modal driving data openly available, we aim to empower researchers and developers worldwide to build safer, smarter, and more generalizable AI systems.”

The dataset is released for non-commercial use under a permissive license, with future versions to include full sequences, annotations, and commercial licensing options. ROVR’s community-powered network has already achieved 25 million km of road coverage and deployed over 2,000 devices globally.

This launch reflects ROVR’s mission to democratize access to real-world 3D data, foster collaboration, and accelerate the responsible development of AI systems that understand and interact with the physical world.

Access the Dataset: https://rovr.network/#/dataset

About ROVR

ROVR is the cornerstone of Spatial AI — a decentralized network that transforms everyday vehicles into intelligent 3D mappers of the physical world. By collecting, structuring, and distributing large-scale 3D data, ROVR supports applications across AI, robotics, autonomous navigation, and beyond.

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