1. Two mechanical LiDARs, two priorities

OS1 prioritizes a compact, configurable platform with strong robotics and mapping tooling. Pandar128 targets dense vertical coverage and long-range road perception. Both scan 360°, but their clouds, ecosystems and integration costs differ.

2. Sourced TECHNICAL table

The French table provides 14 normalized specifications and a source for every row. Values are configuration-dependent; consult the exact purchasable-revision datasheet.

Range and accuracy become comparable only at equal reflectivity, frame rate, return mode and temperature.

3. Cloud quality and range

Pandar128 suits road scenes where vertical density and distant detection dominate. OS1 offers generous vertical FoV and data profiles useful for SLAM, classification and diagnostics. For dark objects, rain and multiple returns, compare ROS bags from the same scene.

4. Integration and operation

ouster_ros and the Ouster API are valued for configuration, metadata and PCAP playback. Hesai provides its SDK and hesai_ros_driver. For both, validate Ethernet throughput, PTP, TF, ROS2 distribution support and decoding CPU load.

5. Advantages, limits and price

OS1: cohesive developer ecosystem, configurable formats and compact enclosure; price varies substantially with channel count and generation. Pandar128: native 128 beams and automotive focus; integration and sourcing depend more on region. With pricing commonly quoted, compare delivered cost including cables, licensing, support and five-year replacement.

6. Recommendation

Choose OS1 for robotics or mapping projects that value SDK quality, flexibility and rich data. Prefer Pandar128 for dense 360° road perception after validating dark-target performance. The final decision should follow a side-by-side test of the exact purchasable configurations.