Skip to content

Utilized advanced deep learning models and architectures in PyTorch to predict trajectories of a fleet of autonomous vehicles.

Notifications You must be signed in to change notification settings

apatankar22/Argoverse_Trajectory_Projection

Repository files navigation

AV Trajectory Projection using partial Argoverse 2 Dataset

Utilized advanced deep learning models and various different architectures in PyTorch for forecasting the trajectories and vehicle motion of a fleet of autonomous vehicles.

Note: This project is a part of a class competition for CSE 151B at UC San Diego in the Spring 2022 quarter. Do not copy, or redistribute any material from this repository.

About

Utilized advanced deep learning models and architectures in PyTorch to predict trajectories of a fleet of autonomous vehicles.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published