New to OctoSense? A getting started Colab notebook walks through loading a sequence and using each modality. Click Open in Colab above to run it in your browser, no setup required. OctoSense is a time synchronized, calibrated, multi sensor dataset spanning multiple platforms, all sharing the same sensor rig. The bulk of the data is large scale driving dataset : 371 sequences · 59 hrs · 2,474 km · 8.43 TB of urban, suburban, and rural driving (highway / residential / city) on Long Island and in Philadelphia , across sunrise, daytime, sunset, and nighttime, complemented by additional sequences captured on a boat and a Unitree quadruped . Every sequence carries synchronized stereo RGB, stereo event cameras, infrared, Ouster LiDAR, and IMU; the driving sequences additionally provide GPS, CAN, ground truth (depth, ego motion optical flow, semantic segmentation), and a fused GPS + LiDAR inertial odometry trajectory. Each sequence's recording platform ( car / boat / unitree ) is a column in metadata.parquet : see Additional platforms for the boat/unitree specifics. Canonical key for every sequence is its recording datetime, rosbag2 YYYY MM DD HH MM SS . Per sequence attributes live in met…
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