Training semantic segmentation algorithms on self driving cars dataset
-
Updated
May 12, 2022 - C++
Training semantic segmentation algorithms on self driving cars dataset
[Udacity] Projects for Self-Driving Cars Nanodegree by Udacity
Real time semantic slam in ROS with a hand held RGB-D camera
Graph Based image processing for segmenting images and detecting free spots in crowded scenes.
动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库
SALSA: Semantic Assisted Life-Long SLAM for Indoor Environments (16-833 SLAM Project at CMU)
Pyramid Scene Parsing Network, CVPR2017.
Use the Intel D435 real-sensing camera to realize object detection based on the Yolov3-5 framework under the Opencv DNN(old version)/TersorRT(now) by ROS-melodic.Real-time display of the Pointcloud in the camera coordinate system.
Delineation of Road Networks Using Deep Residual Neural Networks and Iterative Hough Transform
Implementation of Variational Mean Field Inference for dense Conditional Random Fields.
PMOD-Net: point-cloud-map-based metric scale obstacle detection by using a monocular camera
PMOD-Net: point-cloud-map-based metric scale obstacle detection by using a monocular camera
DDR-SLAM: Official implementation of DDRNet integration into ORB-SLAM2
Module for point cloud semantic segmentation
Caffe fork supporting segmentation algorithms by the Torr Vision Group
Code related to the article "Reducing domain shift in synthetic data augmentation for semantic segmentation of 3D point clouds" submitted to the SMC 2022 conference
A SnapNet fork, experimenting on the original dataset (Semantic-8), and adapting it to an indoor dataset (scannet)
Large-Scale MLS Point Cloud Dataset Semantic Segmentation.
Add a description, image, and links to the semantic-segmentation topic page so that developers can more easily learn about it.
To associate your repository with the semantic-segmentation topic, visit your repo's landing page and select "manage topics."