feat(centerpoint): integrate centerpoint with new deployment framework

[vividf]

Summary

Replace the legacy CenterPoint deployment with the new deployment framework. This change adds ONNX and TensorRT export support, and wires in verification steps to ensure exported models run correctly. It also integrates evaluation through Autoware Perception Evaluation (using the same AW T4MetricV2 flow) so we can validate performance end-to-end.

Change point

Explain for detail

If you add new feature or fix for core library

• feat(autoware-ml): add {feature name}
• fix(autoware-ml): fix {fixed point}

If you add new feature or fix for projects

• feat(BEVFusion): add {feature name}
• feat(BEVFusion): add config file
• fix(BEVFusion): fix {fixed point}

If you change the thing without program

• chore(BEVFusion): add README.md

Note

Write note like influences for other projects.

Test performed

ONNX file comparison

Voxel Encoder

Backbone Head

Log output