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Udacity Self-Driving Car Engineer Nanodegree. Project: Road Semantic Segmentation
Basic demo of Vector Field Consensus method for image keypoint matching
RODNet: Radar object detection network
**大学MOOC《机器人操作系统入门》代码示例 ROS tutorial
**大学MOOC---《机器人操作系统入门》讲义,升级版本
《ROS机器人开发实践》源码
Simple tests for MRPT algorithm
Kmeans Quantization + Random Projection based Locality Sensitive Hashing
A DNN for semantic segmentation using depth and LiDAR data
Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving
ROS package for the Perception (Sensor Processing, Detection, Tracking and Evaluation) of the KITTI Vision Benchmark Suite
Development kit for MIT Scene Parsing Benchmark
行车环境实时语义分割与深度估计
Spatial CNN for traffic lane detection (AAAI2018)
Script for generating Spatial CNN caffe prototxt file.
SECOND for KITTI/NuScenes object detection
SECOND ROS node
Semantic Segmentation ported from PyTorchCV
In this project, semantic segmentation is used as a booster to the depth estimation task. Segmentation masks that separate foreground objects from background are created from full scale disparity maps through a U-net architecture. In addition to minimum reprojection loss and edge-aware smoothness loss, pixel-wise weighted cross entropy loss is used as an additional supervision signal.
The mutli-task work of <Monocular Outdoor Semantic Mapping with a Multi-task Network>
CNNs for semantic segmentation and monocular depth estimation in Pytorch with cross experiments and saliency map analysis
Semantic Segmentation in Pytorch. Network include: FCN、FCN_ResNet、SegNet、UNet、BiSeNet、BiSeNetV2、PSPNet、DeepLabv3_plus、 HRNet、DDRNet
The LiDAR segmenters library, for segmentation-based detection.
This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
Fusing Semantic Segmentation and Monocular Depth Estimation for Enabling Autonomous Driving in Roads without Lane Lines
SemanticKITTI API for visualizing dataset, processing data, and evaluating results.
This repo contains the code for ICNet which is used for the semantic segmentation algorithm, which segments the pixels having car and road surfaces
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
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Some thing interesting about visualization, use data art
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We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.