NvRadarNet: Free space detection

AI & Data Science Deep Learning (Training & Inference) TensorRT
1

Hello NVIDIA Researchers and Developers,

My name is Susmitha Bollimuntha, currently working on autonomous vehicle perception projects. I am trying to reproduce results from the paper:

“NVRadarNet: Real-Time Radar Obstacle and Free Space Detection for Autonomous Driving” (Popov et al., NVIDIA).

Specifically, I am focusing on the free-space detection part. I have tried to follow the methods described in the paper, but my implementation does not produce the expected results.

What I tried:

  • Implemented preprocessing for radar inputs
  • Built a DNN based on the paper’s description
  • Tested on Mini and Trainval

Problem:

  • i am getting 77% accuracy where paper getting 89% accuracy….

Resources:

My questions:

  1. Are there implementation details for free-space detection that are not obvious from the paper?
  2. Is there a reference implementation or snippet available?
  3. Any advice on radar input formatting and training setup?

Any guidance would be deeply appreciated. Thank you for your time and for the great work with NVRadarNet.

Best,
Susmitha Bollimuntha

5

Hi @susmithavijay6666 , I’m happy to help you with this case.
Do you have an ONNX model for the DNN that you’ve created ? Also, it would be useful if you could share your system configurations and hardware details.

Thank you