xhao-pilot

xhao-pilot's Stars

• open-mmlab/mmdetection3d

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

  Language:Python5.4k1.6k

• AICPS/hydrafusion

  Model code for our paper titled "HydraFusion: Context-Aware Selective Sensor Fusion for Robust and Efficient Autonomous Vehicle Perception"

  Language:Python209

• youngskkim/CRN

  [ICCV'23] Official implementation of CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception

  Language:Python13322

• PurdueDigitalTwin/REDFormer

  [ITSC 23] Official codebase for the paper 'Radar Enlighten the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion

  Language:Python576

• JessieW0806/Bi-LRFusion

  Language:Python454

• Tsinghua-MARS-Lab/futr3d

  Code for paper: FUTR3D: a unified sensor fusion framework for 3d detection

  Language:Python28539

• xmu-xiaoma666/External-Attention-pytorch

  🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

  Language:Python11.6k1.9k

• chaytonmin/Awesome-BEV-Perception-Multi-Cameras

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

  1k109

• YunzeMan/BEVGuide

  [CVPR 2023] BEVGuide: BEV-Guided Multi-Modality Fusion for Driving Perception

  351

• Etah0409/BEV-Radar

  51

• ianz27/fusionformer

  Language:Python2

• fundamentalvision/BEVFormer

  [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.

  Language:Python3.5k560

• Daniel-xsy/RoboBEV

  RoboBEV: Towards Robust Bird's Eye View Perception under Common Corruption and Domain Shift

  Language:Python33832

• PlexPt/awesome-chatgpt-prompts-zh

  ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。

  53.4k13.5k