Creation of monocular depth dataset using Argoverse

This repo used for participating in nuScenes prediction task. https://www.nuscenes.org/prediction

Trajectory Forecasting Competition for CSE 251 B, Spring 2025

This is useful to debug the Argoverse V1.1 dataset.

PointPillars for Argoverse object detection

"Official code for TCRAT-Pred: Multi-Agents Trajectory Prediction for Autonomous Vehicles with Multi-Modal Predictions (IEEE CogInfoCom 2024)"

Seperate dual lidar lasers and load the intensity and ring-numbers for better control over lidar data. Using Argoverse dataset.

[RAL 2025]Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network-xinguipeng

🚗 Predict multi-agent trajectories for autonomous vehicles using advanced models on the Argoverse 2 dataset, enhancing motion forecasting capabilities.

My work for the kaggle competition for CSE 151B involving motion forecasting for vehicles using the Argoverse Dataset

Using PyTorch to predict where cars, cyclists, and pedestrians will go.

Numpy-only dynamic object removal for LiDAR point clouds. 3D box crop + temporal filtering, ROS2 realtime node, public AV2 demos.

A tool to translate Argoverse into KITTI dataset format

This repository contains our work on a comprehensive investigation on motion prediction for Autonomous Vehicles using the PowerBEV framework and a Multi-Camera setup. Validated trajectory forecasting capabilities on the NuScenes, Woven and Argoverse datasets and identified challenges in model generalization across these datasets.

Monocular depth estimation from ArgoAI's Lidar based Depth dataset - Depth predictions up-to 200m

Motion Forecasting for Autonomous Vehicles using the Argoverse Motion Forecasting Dataset

A repo for participating in argoai tracking test

PointRCNN configured to Argoverse/Custom dataset

Official github for Delay-adaptive Detector

ROS API and utils for Argoverse dataset