RTCnet is a radar based, single-frame, multi-class detection method for moving road users (pedestrian, cyclist, car), which utilizes low-level radar cube data.

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

🎮 A list of popular/awesome videos games, add-ons, maps, etc. hosted on GitHub. Any genre. Any platform. Any engine.

Image-to-Image Translation in PyTorch

✍️ A carefully curated list of NLP paper summaries

nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees

Papers, code and datasets about deep learning and multi-modal learning for video analysis

Blender addons to make the bridge between Blender and geographic data

Fast, memory-efficient 3D spline interpolation and global kriging, via RBF (radial basis function) interpolation.

Spatial grid data structures for Julia

Point Cloud Library (PCL)

Raspberry PI based baby monitor

Modular ROS visualization tool for 2D data.

Moonfire NVR, a security camera network video recorder

A protocol for real-time transfer and visualization of autonomy data

DBScan algorithm using Octrees to cluster 3D points in a space with PCL Library

Python code for "Machine learning: a probabilistic perspective" (2nd edition)

A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR

📷 Stream live video from the Raspberry Pi Camera Module to the web using HLS or DASH

Patch-base progressive 3D Point Set Upsampling

Semantic Mapping using Surfel Mapping and Semantic Segmentation (Chen et al IROS 2019)

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

An "Iterative Closest Point" library for 2-D/3-D mapping in Robotics

A ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as …

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

Open-source simulator for autonomous driving research.

This is the final project for the Geospatial Vision and Visualization class at Northwestern University. The goal of the project is detecting the lane marking for a small LIDAR point cloud. Therefor…

CUDA based Iterative Closest Point Algorithm Implementation

ArcGIS built-in python raster functions for deep learning to get you started fast.