A GPU SVO Builder using rasterization pipeline, a efficient SVO ray marcher and a simple SVO path tracer.
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Updated
May 16, 2022 - C++
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A GPU SVO Builder using rasterization pipeline, a efficient SVO ray marcher and a simple SVO path tracer.
This repository intends to enable autonomous drone delivery with the Intel Aero RTF drone and PX4 autopilot. The code can be executed both on the real drone or simulated on a PC using Gazebo. Its core is a robot operating system (ROS) node, which communicates with the PX4 autopilot through mavros. It uses SVO 2.0 for visual odometry, WhyCon for visual marker localization and Ewok for trajectoy planning with collision avoidance.
Svof is an AI system for Achaea, an online MUD. It has advanced and adaptable curing capabilities, defence raising, and addons.
Hardware accelerated voxel ray marching
Modified version of rpg_svo(commit d616106 on May 9, 2017) which implement a Semi-direct Monocular Visual Odometry pipeline
A SVO based SLAM implementation for stereo cameras
Automatic SVO Extraction Tool for Social Science
Voxel rendering engine for master thesis (voxel skeletal animation)
BlackPearl Rendering Engine
Java/LWJGL pathtracer based on the paper "Efficient Sparse Voxel Octrees" by Samuli Laine and Tero Karras.
The web contains vast repositories of unstructured text. We investigate the opportunity for building a knowledge graph from these text sources. We generate a set of triples which can be used in knowledge gathering and integration. We define the architecture of a language compiler for processing subject-predicate-object triples using the OpenNLP parser. We implement a depth-first search traversal on the POS tagged syntactic tree appending predicate and object information. A parser enables higher precision and higher recall extractions of syntactic relationships across conjunction boundaries. We are able to extract 2-2.5 times the correct extractions of ReVerb. The extractions are used in a variety of semantic web applications and question answering. We verify extraction of 50,000 triples on the ClueWeb dataset.
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