Malcolm-Guo

TightlyCoupledINSGNSS

INS/GNSS紧组合程序，使用伪距、伪距率、INS测量，支持双天线测向数据。

LIO-SAM

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

robust_point_cloud_registration

Robust Point Cloud Registration Using Iterative Probabilistic Data Associations ("Robust ICP")

PointNetLK

KittiSeg

A Kitti Road Segmentation model implemented in tensorflow.

awesome-state-of-depth-completion

Current state of supervised and unsupervised depth completion methods

mondi-python

PyTorch Implementation of Monitored Distillation for Positive Congruent Depth Completion (ECCV 2022)

monodepth

Python ROS depth estimation from RGB image based on code from the paper "High Quality Monocular Depth Estimation via Transfer Learning"

DySPN

Non-official PyTorch implementation of the "Dynamic Spatial Propagation Network for Depth Completion"

self-supervised-depth-completion

ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"

Yolov5-OpenCV-Cpp-Python-ROS

Inference with YOLOv5, OpenCV 4.5.4 DNN, C++, ROS and Python

deeplab_ros

ROS implementation for Deeplab v3 +

PENet_ICRA2021

ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"

ESANet

ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

External-Attention-pytorch

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

Res2Net-PretrainedModels

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

SemAttNet

Official Repository of "SemAttNet: Towards Attention-based Semantic Aware Guided Depth Completion"

self-driving-ish_computer_vision_system

This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT

lidar_camera_calibration

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

lvio_fusion

Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method (IROS 2021)

Intelligent-Vehicle-Perception-Based-on-Inertial-Sensing-and-Artificial-Intelligence

Intelligent Vehicle Perception Based on Inertial Sensing and Artificial Intelligence

neor_mini

ROS-based Ackerman-like unmanned car.

cotrain

Repository for the paper "Lidar-Camera Co-Training for Semi-Supervised Road Detection"

EfficientNet-Lite

Pytorch implementation of EfficientNet-lite. ImageNet pre-trained models are provided.

fast-autoaugment-efficientnet-pytorch

A Pytorch implementation of Fast AutoAugment and EfficientNet

EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

YOLOP-opencv-dnn

使用OpenCV部署全景驾驶感知网络YOLOP，可同时处理交通目标检测、可驾驶区域分割、车道线检测，三项视觉感知任务，包含C++和Python两种版本的程序实现。本套程序只依赖opencv库就可以运行， 从而彻底摆脱对任何深度学习框架的依赖。

darknet_ros

YOLO ROS: Real-Time Object Detection for ROS

patchwork-plusplus

Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22