McXiong

McXiong's Stars

• ekurtgl/FMCW-MIMO-Radar-Simulation

  Language:MATLAB19637

• ekurtgl/AWR2243-Radar-GUI

  Language:Python175

• md4all/md4all

  Source code for the ICCV 2023 paper: Robust Monocular Depth Estimation under Challenging Conditions

  Language:Python1085

• mit-han-lab/bevfusion

  [ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

  Language:Python2.3k425

• nv-tlabs/lift-splat-shoot

  Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

  Language:Python1.1k221

• wolny/pytorch-3dunet

  3D U-Net model for volumetric semantic segmentation written in pytorch

  Language:Jupyter Notebook2k507

• valeoai/RADIal

  [CVPR 2022] RADIAl: Raw High-Definition Radar for Multi-Task Learning

  Language:Jupyter Notebook17756

• thucyw/RPDNet

  Language:Python305

• tudelft-iv/multi_sensor_calibration

  Language:C++497105

• Aiuan/sensors_calibration_v1

  while building our dataset, we need to calibrate and match camera, camera&lidar, camera&radar

  Language:MATLAB41

• azinke/mmwave

  Linux tool for controlling the MMWCAS-DSP-EVM and MMWAVECAS-RF-EVM boards

  Language:C327

• lochenchou/DORN_radar

  Depth Estimation from Monocular Images and Sparse radar using Deep Ordinal Regression Network

  Language:Jupyter Notebook375

• nicku-a/Weather_Classification

  CNN classification of images by weather conditions.

  Language:Jupyter Notebook163

• umar07/Fog_Detection_using_GLCM_Features

  Fog Detection in static images using GLCM based textural features and classification with SVM.

  Language:Jupyter Notebook7

• changhao-chen/selective_sensor_fusion

  Webpage for Selective Sensor Fusion

  Language:Python6513

• Samleo8/RadarSLAMPy

  Python reimplementation of odometry component of Radar SLAM

  Language:Python306

• AICPS/hydrafusion

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

  Language:Python208

• Aiuan/TI-Radar-Processing

  Language:MATLAB305

• yizhou-wang/cr-data-collector

  Camera-Radar Data Collection Tools

  Language:Python259

• MartinHahner/LiDAR_fog_sim

  LiDAR fog simulation

  Language:Python17931

• w2kun/RNW

  This is the official repository for Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark (ICCV 2021).

  Language:Python8413

• XXXVincent/MonoDepth2

  Mono depth on nuscenes dataset

  Language:Jupyter Notebook195

• ghaiszaher/Foggy-CycleGAN

  Fog Simulation using Generative Adversarial Networks (GAN). This code is the implementation of the master thesis Simulating Weather Conditions on Digital Images. It uses a modified CycleGAN model to synthesize fog on clear images.

  Language:Python7013

• nianticlabs/monodepth2

  [ICCV 2019] Monocular depth estimation from a single image

  Language:Jupyter Notebook4.2k963

• soulslicer/kitti_depthmap

  module for converting raw lidar in kitti to depthmap

  Language:C++5913

• MartinHahner/FoggySynscapes

  Semantic Understanding of Foggy Scenes with Purely Synthetic Data

  Language:MATLAB5310

• MI-Hussain/RVMDE

  RVMDE : Radar Validated Monocular Depth Estimation for Robotics

  Language:Jupyter Notebook157

• brade31919/radar_depth

  Source code of the IROS 2020 paper "Depth Estimation from Monocular Images and Sparse Radar Data"

  Language:Python8713

• fangchangma/sparse-to-dense.pytorch

  ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)

  Language:Python445101

• collector-m/lidar_projection

  3d lidar point cloud 2d image projection in python.

  Language:Python6333