nd0130-c2-fusion-starter-midterm

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

Super Fast and Accurate 3D Object Detection based on 3D LiDAR Point Clouds (The PyTorch implementation)

A list of references on lidar point cloud processing for autonomous driving

A Modular Optimization framework for Localization and mApping (MOLA)

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).

Implementation for CenterFormer: Center-based Transformer for 3D Object Detection (ECCV 2022)

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

Lidar Obstacle Detection