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JRDB-Traj

JRDB Data Preprocessing and Trajectory Prediction Baselines

Prerequisites

Install requirements with bash requirement.sh.

Repository Overview

The pipeline encompasses four key steps:

1. bash dataload.sh: This script preprocesses the JRDB dataset, extracting trajectories for further analysis.
2. bash preprocess.sh: Utilizing the TrajNet++ benchmark, this script categorizes '.csv' files and generates '.ndjson' files for the next step.
3. bash train.sh: This script train baseline trajectory prediction models using the meticulously prepared data.
4. bash eval.sh: This script will generate predictions in JRDB leaderboard format. Now, you can you submit the "jrdb_submission" directory in the main part of the repo to the leaderboard.

Work in Progress

This repository is being updated so please stay tuned!