Pohang Canal: Multimodal Maritime Data for Autonomous Navigation in Restricted Waters

A 7.5 km navigation route in Pohang, South Korea, was recorded using a sensor suite including three LiDARs, a marine radar, multiple cameras, and GPS. The dataset includes sensor calibration parameters and a SLAM-based baseline trajectory. It was created by MORIN to facilitate research on autonomous surface vehicles.

Use Cases

• Sensor fusion algorithm development based on the multi-modal sensor suite (LiDAR, radar, cameras).
• Perception model training for restricted waters based on visual, infrared, and omnidirectional camera data.
• Localization and mapping research based on the provided SLAM-based baseline trajectory.
• Testing autonomous navigation in narrow canals based on data from the 7.5 km route including a canal area.

Strengths

• Multi-modal sensor suite includes three LiDARs, radar, and multiple camera types.
• Covers a 7.5 km route with diverse maritime environments: narrow canal, port, and near-coastal areas.
• Includes sensor calibration parameters and a SLAM-based baseline trajectory.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

MORIN

Collection Method

Acquired via a sensor suite mounted on a vessel navigating a defined route.

Time Range

null

Freshness

Last updated date is unknown.

Geography

Pohang, South Korea