Topic: argoverse Goto Github
Some thing interesting about argoverse
Some thing interesting about argoverse
argoverse,Argoverse 2: Next generation datasets for self-driving perception and forecasting.
Organization: argoverse
Home Page: https://argoverse.github.io/user-guide/
argoverse,Argoverse User Guide.
Organization: argoverse
Home Page: https://argoverse.github.io/user-guide/
argoverse,[CoRL-2022] SSL-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving
User: autovision-cloud
argoverse,This repo used for participating in nuScenes prediction task. https://www.nuscenes.org/prediction
User: biomotion
argoverse,A repo for participating in argoai tracking test
User: biomotion
argoverse,Argoverse API for manipulating Argoverse 1 and Argoverse 2 Dataset for 3D Drivable Area Detection using LiDAR
User: christofel04
argoverse,Official repository for Efficient Baselines for Motion Prediction in Autonomous Driving. Presented at CVPR and ICRA Workshops 2022, and ITSC conference 2022.
User: cram3r95
Home Page: https://arxiv.org/abs/2205.13071
argoverse,The official implementation of "Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting" presented in ECCV2022.
User: d1024choi
argoverse,Official github for Delay-adaptive Detector
User: danjos95
argoverse,VoxelNeXt: Fully Sparse VoxelNet for 3D Object Detection and Tracking (CVPR 2023)
Organization: dvlab-research
Home Page: https://arxiv.org/abs/2303.11301
argoverse,ROS API and utils for Argoverse dataset
User: heethesh
argoverse,My work for the kaggle competition for CSE 151B involving motion forecasting for vehicles using the Argoverse Dataset
User: jbwong05
argoverse,PointRCNN configured to Argoverse/Custom dataset
User: kartik17
argoverse,Seperate dual lidar lasers and load the intensity and ring-numbers for better control over lidar data. Using Argoverse dataset.
User: manojbhat09
argoverse,Trajectory Prediction with Local Self-Attentive Contexts for Autonomous Driving (NeurIPS 2020)
User: manojbhat09
argoverse,Official PyTorch Implementation of "LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints"
User: mengmengliu1998
argoverse,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.
User: rishikesh-jadhav
argoverse,Motion Forecasting for Autonomous Vehicles using the Argoverse Motion Forecasting Dataset
User: sapan-ostic
argoverse,Creation of monocular depth dataset using Argoverse
User: tilakd
argoverse,Monocular depth estimation from ArgoAI's Lidar based Depth dataset - Depth predictions up-to 200m
User: tilakd
argoverse,Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhanced Network
User: xingp
argoverse,[CVPR 2023] Query-Centric Trajectory Prediction
User: zikangzhou
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