[ECCV 2024] RecurrentBEV: A Long-term Temporal Fusion Framework for Multi-view 3D Detection
-
Updated
Jul 8, 2024
[ECCV 2024] RecurrentBEV: A Long-term Temporal Fusion Framework for Multi-view 3D Detection
Official PyTorch Implementation of HTCL (ECCV 2024): Hierarchical Temporal Context Learning for Camera-based Semantic Scene Completion
[under review] Official PyTorch Implementation of "Cross-modal Autoregressive Network based on History Aggregation for Trajectory Prediction".
[ECCV 2024] Ray Denoising (RayDN): Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection
The official implementation of "Hierarchical Latent Structure for Multi-Modal Vehicle Trajectory Forecasting" presented in ECCV2022.
Advanced 3D Multi Object Tracking using Multi Model Kalman Filter using Long Range and Short Range Tendency for Autonomous Vehicle
[CVPR 2024] Official PyTorch Code of SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds (CVPR 2023)
A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.
[CVPRW 2024]Official PyTorch Implementation of "LAformer: Trajectory Prediction for Autonomous Driving with Lane-Aware Scene Constraints"
Unlocking consistent interfacing to the most useful autonomous vehicle datasets and simulators.
NuScenes wrapper for fast development
Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation (CVPR 2022)
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.
[IV 2024] Official code for "Revisiting Out-of-Distribution Detection in LiDAR-based 3D Object Detection"
三维点云数据集下载sh脚本(目标检测,语义分割, ...)
Official codebase of HyDRa.
Open source training framework for vision tasks. Scales up on data and scales up on tasks. Official Implementation for https://arxiv.org/abs/2310.00920
Add a description, image, and links to the nuscenes topic page so that developers can more easily learn about it.
To associate your repository with the nuscenes topic, visit your repo's landing page and select "manage topics."