VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)

[CVPR 2023] Query-Centric Trajectory Prediction

Argoverse 2: Next generation datasets for self-driving perception and forecasting.

[CoRL-2022] SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving

[CVPRW 2024]Official PyTorch Implementation of "LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints"

Official repository for Efficient Baselines for Motion Prediction in Autonomous Driving. Presented at CVPR and ICRA Workshops 2022, and ITSC conference 2022.

TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA 2023. You may also want to check out the updated version: https://github.com/zhejz/TrafficBotsV1.5

Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving (NeurIPS 2020)

The official implementation of "Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting" presented in ECCV2022.

Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network

ROS API and utils for Argoverse dataset

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

Official github for Delay-adaptive Detector

PointRCNN configured to Argoverse/Custom dataset

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.

Argoverse API for manipulating Argoverse 1 and Argoverse 2 Dataset for 3D Drivable Area Detection using LiDAR

A repo for participating in argoai tracking test

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

Motion Forecasting for Autonomous Vehicles using the Argoverse Motion Forecasting Dataset

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