Argoverse API for manipulating Argoverse 1 and Argoverse 2 Dataset for 3D Drivable Area Detection using LiDAR
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Updated
Feb 27, 2024 - Jupyter Notebook
Argoverse API for manipulating Argoverse 1 and Argoverse 2 Dataset for 3D Drivable Area Detection using LiDAR
Seperate dual lidar lasers and load the intensity and ring-numbers for better control over lidar data. Using Argoverse dataset.
This repo used for participating in nuScenes prediction task. https://www.nuscenes.org/prediction
Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhanced Network
Motion Forecasting for Autonomous Vehicles using the Argoverse Motion Forecasting Dataset
Creation of monocular depth dataset using Argoverse
My work for the kaggle competition for CSE 151B involving motion forecasting for vehicles using the Argoverse Dataset
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
Official github for Delay-adaptive Detector
A repo for participating in argoai tracking test
PointRCNN configured to Argoverse/Custom dataset
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.
Official PyTorch Implementation of "LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints"
[CoRL-2022] SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
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