Generating optimized noise-free BEV representaiton of Autonomous Vehicles (Self-driving cars) using Stable Diffusion Transformers (DiTs), Diffusion Models, SwinV2 Transformers and Lift-Splat-Shoot. NuScenes dataset was used for training and validation, while testing environment was simulated on CARLA simulator.
This project works best on:
- Python 3.7
- Create conda environment for the project
conda create --name av-bev python=3.7
conda activate av-bev
- Install PyTorch
conda install pytorch torchvision -c pytorch