urban_road_filter

Road detection

An algorithm for detecting urban roads and sidewalks from LiDAR point clouds in real-time.

Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗

GitHub

295 stars
6 watching
79 forks
Language: C++
last commit: 12 months ago
Linked from 2 awesome lists

autonomous-drivingfilterlidarlidar-filterpoint-cloudroad-segmentationrosself-driving-carshell-eco-marathonszeszenergy

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
microsoft/roaddetections Automating road detection from aerial imagery using deep learning techniques. 538
jdbcode/llr-landtrendr This project is an extension of the existing LandTrendr algorithm to work with LandsatLinkr-processed imagery. 10
limhyungtae/patchwork Develops ground segmentation from 3D point clouds using robust and fast algorithms for autonomous vehicles 487
bailool/placerecognition-loopdetection This project provides a light-weight algorithm for detecting loops in place recognition using road markings. 57
matlab-deep-learning/pretrained-resa-network-for-road-boundary-detection A MATLAB implementation of a deep learning-based road boundary detection system using a pre-trained RESA model. 3
amsterdam-ai-team/urban_pointcloud_processing Automates classification and labeling of urban 3D point clouds using data fusion and region growing techniques. 169
marvinteichmann/kittiseg An implementation of a fully convolutional network-based road segmentation model using TensorFlow. 911
hkust-aerial-robotics/a-loam Implementation of SLAM algorithm using lidar data 2,135
lopuhin/kaggle-dstl An image classification project that uses a U-Net network to detect features in satellite imagery 207
trailbehind/deeposm Trains deep learning models to classify roads and features in satellite imagery using OpenStreetMap data. 1,320
kdmayer/pointer A LiDAR-derived point cloud dataset of one million English buildings linked to energy characteristics 13
playerkk/drfi_matlab Implementation of a salient object detection approach using a Random Forest model in MATLAB. 50
deel-ai/lard A dataset and toolset for training object detection models to identify runways in aerial images during landing phases. 85
cosmiq/yolt A tool for rapid multi-scale object detection in satellite images using convolutional neural networks. 664
karthikraja95/fsdl_deforestation_detection A deep learning project for detecting deforestation from satellite images using a full stack approach 40