Skip to content

Bird's Eye View Object Detection Algorithm for self-driving Cars

License

Notifications You must be signed in to change notification settings

ankita-kalra/PIXOR

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

PIXOR

Bird's Eye View Object Detection Algorithm for self-driving Cars

This is an ongoing attempt implement PIXOR with PyTorch for Univerity of Toronto's self-driving team (aUToronto)

The repository now contains the code of the model archeitecuture, the loss function, the training script, visualizaiton scripts and dataset wrapper.

The following sample detection are the result of a network trained on a Nvidia GTX-1080Ti for 10 epochs with a batch size of 4.

Image Sample

Ground Truth Ground Truth

Predictions Prediction

Output of the final layer Output

Credits

Project Contributors

  • Philip Huang
  • Allan Liu

Paper Citation below



@inproceedings{yang2018pixor,
  title={PIXOR: Real-Time 3D Object Detection From Point Clouds},
  author={Yang, Bin and Luo, Wenjie and Urtasun, Raquel}
}

About

Bird's Eye View Object Detection Algorithm for self-driving Cars

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages