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24 public repositories
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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.
Updated
May 5, 2024
Python
Argoverse 2: Next generation datasets for self-driving perception and forecasting.
Updated
Feb 28, 2024
Python
Argoverse API for manipulating Argoverse 1 and Argoverse 2 Dataset for 3D Drivable Area Detection using LiDAR
Updated
Feb 27, 2024
Jupyter Notebook
Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhanced Network
Official github for Delay-adaptive Detector
Updated
Oct 17, 2023
Python
[CVPR 2023] Query-Centric Trajectory Prediction
Updated
Oct 10, 2023
Python
VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)
Updated
Jun 3, 2023
Python
Official PyTorch Implementation of "LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints"
Updated
Apr 28, 2023
Python
Motion Forecasting for Autonomous Vehicles using the Argoverse Motion Forecasting Dataset
Updated
Apr 18, 2023
HTML
Official repository for Efficient Baselines for Motion Prediction in Autonomous Driving. Presented at CVPR and ICRA Workshops 2022, and ITSC conference 2022.
Updated
Feb 6, 2023
Jupyter Notebook
The official implementation of "Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting" presented in ECCV2022.
Updated
Oct 27, 2022
Python
[CoRL-2022] SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
Updated
Jun 29, 2022
Jupyter Notebook
Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving (NeurIPS 2020)
Updated
Nov 12, 2021
Python
My work for the kaggle competition for CSE 151B involving motion forecasting for vehicles using the Argoverse Dataset
Updated
Jun 7, 2021
Jupyter Notebook
Creation of monocular depth dataset using Argoverse
Updated
Dec 6, 2020
Jupyter Notebook
Monocular depth estimation from ArgoAI's Lidar based Depth dataset - Depth predictions up-to 200m
Updated
Dec 6, 2020
Python
Seperate dual lidar lasers and load the intensity and ring-numbers for better control over lidar data. Using Argoverse dataset.
Updated
Sep 13, 2020
Python
ROS API and utils for Argoverse dataset
Updated
Aug 14, 2020
Python
A repo for participating in argoai tracking test
Updated
Jun 16, 2020
Python
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