The RoboSense Challenge 2025

Track #5: Cross-Platform 3D Object Detection

👋 Welcome to Track #5: Cross-Platform 3D Object Detection of the 2025 RoboSense Challenge!

Track 5 Image

🎯 Objective

As robotics continues to advance, LiDAR-based 3D object detection has become a focal point in both academia and industry. However, most existing datasets and methods target vehicle platforms, overlooking quadrupeds and drones. This challenge, built on our benchmark, aims to:

  1. Build on three platforms—vehicles, drones, and quadruped robots—to foster innovations in a unified perception framework;
  2. Bridge geometric and data distribution disparities to achieve rapid model transfer and adaptation across platforms;
  3. Lower annotation and deployment overhead, supporting collaborative sensing for heterogeneous robot teams in urban, disaster, and indoor scenarios.

🗂️ Phases & Requirements

Phase 1: xxx

This phase ...

Phase 2: xxx

This phase ...

🚗 Dataset Examples

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🛠️ Baseline Model

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📊 Baseline Results

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Metric Metric 1 Metric 2 Metric 3 Metric 4
Baseline Model x.xx x.xx x.xx x.xx

🔗 Resources

We provide the following resources to support the development of models in this track:

Resource Link
GitHub https://github.com/robosense2025/track5
Checkpoint
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