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digital-privacy icon digital-privacy

一个关于数字隐私搜集、保护、清理集一体的方案,外加开源信息收集(OSINT)对抗 (长期更新)

dsv_planner icon dsv_planner

Dual-Stage Viewpoint Planner for Autonomous Exploration

eccv2020-code icon eccv2020-code

ECCV 2020 论文开源项目合集,同时欢迎各位大佬提交issue,分享ECCV 2020开源项目

electron-ssr-backup icon electron-ssr-backup

electron-ssr原作者删除了这个伟大的项目,故备份了下来,不继续开发,且用且珍惜

explore_map_standalone icon explore_map_standalone

BIT EXPLORATION3 Maintain an environmental exploration map & Update by Bayesian probability **For Autonomous Vehicle**

far_planner icon far_planner

Fast, Attemptable Route Planner for Navigation in Known and Unknown Environments

fast-planner icon fast-planner

A Robust and Efficient Trajectory Planner for Quadrotors

fcl icon fcl

Flexible Collision Library

fields2cover icon fields2cover

Robust and efficient coverage paths for autonomous agricultural vehicles. A modular and extensible Coverage Path Planning library

fiss_planner icon fiss_planner

[RA-L 2022] FISS: A Trajectory Planning Framework using Fast Iterative Search and Sampling Strategy for Autonomous Driving

g-vom icon g-vom

G-VOM: A GPU Accelerated Voxel Off-Road Mapping System

gbplanner_ros icon gbplanner_ros

Graph-based Exploration Planner for Subterranean Environments 地下探索

github-chinese-top-charts icon github-chinese-top-charts

:cn: GitHub中文排行榜,各语言分设「软件 | 资料」榜单,精准定位中文好项目。各取所需,高效学习。

grid_map icon grid_map

Universal grid map library for mobile robotic mapping

grips icon grips

Gradient-Informed Path Smoothing for Wheeled Mobile Robots (GRIPS)

h-obca icon h-obca

Hierarchical Optimization-Based Collision Avoidance - a path planner for autonomous parking

ic-gvins icon ic-gvins

A Robust, Real-time, INS-Centric GNSS-Visual-Inertial Navigation System

junior_local_planner icon junior_local_planner

This local planner implements the local planning method used in Tier IV's Autoware OpenPlanner (Local Planner), with modifications to suit our application.

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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