Performance Comparison of 3D Object Detection Methods on NuScenes

A performance comparison of different 3D object detection methods evaluated on the NuScenes dataset. The dataset was authored by Nan Zhang and last updated on June 1, 2026. It is a small, 5.5 KB Excel file containing aggregated benchmark results.

Use Cases

• Benchmarking new 3D object detection algorithms against existing methods based on the described performance comparison.
• Analyzing the relative strengths of different detection architectures based on the aggregated evaluation metrics.
• Selecting a suitable 3D detection model for an autonomous system based on reported performance data.

Strengths

• Dataset is under a permissive CC-BY-4.0 license, allowing for broad reuse.
• Provides a direct comparison of multiple methods on a standard benchmark (NuScenes).

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 5.5 KB size suggests it contains only summary metrics, not raw detection data.

Provenance

Source

figshare

Collection Method

Likely compiled from published results or personal experiments.

Freshness

Last updated 2026-06-01 17:50:51; freshness should be verified.