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shapeit5

Segmented HAPlotype Estimation and Imputation Tool

Language:C++License:MITStargazers:66Issues:0Issues:0

librpims5x

MS5x family pressure sensors library

Language:CLicense:GPL-3.0Stargazers:2Issues:0Issues:0

python-control

The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.

Language:PythonLicense:BSD-3-ClauseStargazers:1680Issues:0Issues:0

LIO-SAM

LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

Language:C++License:BSD-3-ClauseStargazers:3377Issues:0Issues:0

r3live

A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package

Language:C++License:GPL-2.0Stargazers:1989Issues:0Issues:0

mpc_ros

Differential Wheeled Mobile Robot - Nonlinear Model Predictive Control based on ROS

Language:C++License:Apache-2.0Stargazers:756Issues:0Issues:0

CarND-MPC-Project-P5

Udacity Self-Driving Car Nanodegree - Model Predictive Control (MPC) Project

Language:C++License:MITStargazers:40Issues:0Issues:0

jetson-inference

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Language:C++License:MITStargazers:7761Issues:0Issues:0

MockBot

A homebrew robot - custom hardware and brickpi

Language:HTMLStargazers:16Issues:0Issues:0

DWA-RL

Novel reinforcement learning based local planner that accounts for the dynamic constraints of the robot to enable smooth robot trajectories. Reward shaping is done to enable a spatially aware navigation.

Language:PythonStargazers:63Issues:0Issues:0

awesome-visual-slam

:books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

Stargazers:2238Issues:0Issues:0

SVIn

Underwater Navigation with tightly coupled fusion of Visual Inertial Sonar and Depth Information

Language:C++License:GPL-3.0Stargazers:98Issues:0Issues:0
Language:PythonLicense:BSD-3-ClauseStargazers:1756Issues:0Issues:0

ai-guide

Micro Invaders: an introduction to the event

Language:ShellStargazers:9Issues:0Issues:0

jekyll

:globe_with_meridians: Jekyll is a blog-aware static site generator in Ruby

Language:RubyLicense:MITStargazers:49034Issues:0Issues:0

RRT_Algorithm

Rapidly Exploring Random Tree: Path Planning

Language:C++Stargazers:6Issues:0Issues:0

point-cloud-clusters

A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.

Language:PythonLicense:MITStargazers:64Issues:0Issues:0

navigation2

ROS 2 Navigation Framework and System

Language:C++License:NOASSERTIONStargazers:2507Issues:0Issues:0

navigation_tutorials

Tutorials about using the ROS Navigation stack.

Language:C++Stargazers:279Issues:0Issues:0

navigation

ROS Navigation stack. Code for finding where the robot is and how it can get somewhere else.

Language:C++Stargazers:2319Issues:0Issues:0
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teb_local_planner

An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)

Language:C++License:BSD-3-ClauseStargazers:1031Issues:0Issues:0

opendriveparser

OpenDRIVE Map parser

Language:PythonStargazers:158Issues:0Issues:0

lt-mapper

A Modular Framework for LiDAR-based Lifelong Mapping

Language:C++Stargazers:438Issues:0Issues:0

Fusion-LiDAR-Camera

Fusion of LiDAR and Camera

Stargazers:30Issues:0Issues:0

VISION

Open-Source Real-Time Object Detection, Tracking and Lane Detection for Autonomous Vehicle

Language:PythonStargazers:7Issues:0Issues:0

ENet-SAD_Pytorch

Pytorch implementation of "Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)"

Language:PythonLicense:MITStargazers:76Issues:0Issues:0

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Language:PythonLicense:NOASSERTIONStargazers:13275Issues:0Issues:0

Object-detection-in-Point-Cloud-road-boundary

Object detection in Point Cloud is popular in HD Map and sensor-based autonomous driving. There basically four types of object you can obtain in daily scenario: road surface - contains painted lane marking and pavement area, support facility - contains road boundary (guardrail and curb), road sign, light pole, etc., uncorrelated object - for example, sidewalk, building, etc., and moving object - such like pedestrian, vehicle, bicycle, etc. In this project, please search references, design and prototype your road boundary (guardrail) detection algorithm.

Language:C++Stargazers:128Issues:0Issues:0

LaneATT

Code for the paper entitled "Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection" (CVPR 2021)

Language:PythonLicense:MITStargazers:627Issues:0Issues:0