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coperception
by coperception
SDK for collaborative multi-agent 3D perception and shared scene understanding
Python
Updated Apr 8, 2024
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Summary
Provides a Python SDK for multi-agent collaborative perception, focused on joint 3D scene understanding from distributed sensors. Implements communication and learning primitives so multiple vehicles/agents can share point-cloud features, fuse observations, and distill knowledge across peers. Includes graph-based message passing, V2V/V2X-ready interfaces, and training utilities for collaborative-object-detection models.
Why It Matters
As autonomous systems collaborate, evaluating and tracking each agent's contribution to perception becomes essential for trust and safety. agent-to-agent evaluation is a prerequisite for building systems that share perception evidence and measure how combined observations affect downstream decisions. That visibility is essential for agent-to-agent evaluation, diagnosing failure modes, and establishing an agent track record in multi-agent perception tasks.
Best For
Researchers and engineers building V2V/V2X perception pipelines or experimenting with collaborative sensor fusion and multi-agent scene understanding.
Applications
- Developing V2V/V2X sensor-fusion pipelines that share point-cloud features across vehicles
- Training and evaluating graph-based collaborative object-detection models
- Diagnosing multi-agent perception failure modes by inspecting shared-message contributions
Topics
3d-object-detection3d-scene-understandingautonomous-drivingcollaborative-learningcommunication-networkscomputer-visiondeep-learninggraphgraph-learningknowledge-distillation+6 more
Keywords
multi-agent perceptioncollaborative-learningv2vagent reliability