Accurate Road Segmentation using Camera and LIDAR Data for self-driving application

Last updated on May 3, 2021
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Road detection result for a sample image

Completed as part of a graduate course at the University of Toronto | PyTorch.

  • Implemented a Fully Connected Network based Road Segmentation pipeline on Audi’s A2D2 dataset using PyTorch and OpenCV.
  • Implemented the late and early fusion strategy published by L. Caltagirone et. al. and achieved an average precision of over 90%.
  • Video, a full report, and the corresponding code is available here.
DL CV
Abhinav Grover
Abhinav Grover
Machine Learning Engineer

Machine Learning and Robotics enthusiast, currently building 3D reconstruction tools for Applied Intuition.

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