A tool to translate Argoverse into KITTI dataset format
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Updated
May 29, 2020 - Python
A tool to translate Argoverse into KITTI dataset format
Creation of monocular depth dataset using Argoverse
This repo used for participating in nuScenes prediction task. https://www.nuscenes.org/prediction
Using PyTorch to predict where cars, cyclists, and pedestrians will go.
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
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
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.
Official github for Delay-adaptive Detector
PointRCNN configured to Argoverse/Custom dataset
Monocular depth estimation from ArgoAI's Lidar based Depth dataset - Depth predictions up-to 200m
Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network
The official implementation of "Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting" presented in ECCV2022.
Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving (NeurIPS 2020)
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
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