RangeNet-Plus-Plus
Real‑time LiDAR point cloud semantic segmentation using range images.
RangeNet‑Plus‑Plus (also stylized as RangeNet++) projects a LiDAR point cloud onto a 5‑channel range image (depth, x, y, z, intensity) and applies a DarkNet‑53 encoder with a decoder head to predict per‑point semantic class labels in real time.
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This model is currently not supported on any IoT chipset.
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View for other chipsetsTechnical Details
Model checkpoint:darknet53_rangenet++
Input resolution:64x2048
Input channels:5
Number of output classes:20
Backbone:DarkNet-53
Applicable Scenarios
- Autonomous Driving
- Robotics
- HD Mapping
License
Model:MIT
Tags
- real-time
Supported IoT Devices
- Dragonwing IQ-9075 EVK
- Dragonwing IQ-X5121
- Dragonwing IQ-X7181
- Dragonwing Q-8750
- QCS8275 (Proxy)
- QCS8550 (Proxy)
Supported IoT Chipsets
- Qualcomm® QCS8275 (Proxy)
- Qualcomm® QCS8550 (Proxy)
- Qualcomm® QCS9075
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