EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection

LIO_SAM for 6-axis IMU and GNSS.

将fast-livo视觉部分移植到faster-lio中，使用自适应体素的地图表征形式，最新版加入STD描述子检测回环并更新在分支fastlivo_voxel_std中

A Fast and Tightly-coupled Sparse-Direct LiDAR-Inertial-Visual Odometry (LIVO).

[ICCV 2023] OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction

Lightweight stereo matching network based on MobileNet blocks

Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]

3D occupancy

KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )

An example showing how to inverse-project depth samples into the view/world space in Unity.

Official code for BEVStereo

Vision-Centric BEV Perception: A Survey

Transformer related optimization, including BERT, GPT

Pytorch library for fast transformer implementations

[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird's-Eye-View, such as DETR3D, BEVDet, BEVFormer, BEVDepth, UniAD

Code base of the BEVDet series .

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

Image Processing for Basic Depth Completion

Various computer vision models for Tensorflow

[ECCV 2020] Official PyTorch implementation of "Gen-LaneNet: a generalized and scalable approach for 3D lane detection"

This project aims to explore the deployment of Swin-Transformer based on TensorRT, including the test results of FP16 and INT8.

OpenMMLab Model Deployment Framework

OpenMMLab's next-generation platform for general 3D object detection.

[ECCV 2022 Oral] Perspective Transformer on 3D Lane Detection

Code & Models for 3DETR - an End-to-end transformer model for 3D object detection

End-to-End Object Detection with Transformers