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2D SLAM using an extended Kalman filter on LiDAR and INS data
人工智能实践:Tensorflow笔记
ROS-based autonomous navigation tools for mobile robots with 2D LiDAR
Implement basic motion planning in cartographer submaps without using whole grid
ros1 gazebo cartographer amcl
Vehicle control-policy from visual space (WIP)
This is a DRL(Deep Reinforcement Learning) platform built with Gazebo for the purpose of robot's adaptive path planning.
3D LIDAR-based Graph SLAM
本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍,没准你想找的书就在这里呢,包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列(常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习,深度学习等等),大数据系列(Spark,Hadoop,Scala,kafka等),程序员必修系列(C、C++、java、数据结构、linux,设计模式、数据库等等)
This is a Kalman filter used to calculate the angle, rate and bias from from the input of an accelerometer/magnetometer and a gyroscope.
SLAM using 2D lidar
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
Repository for Machine Learning Project
数学知识点滴积累 矩阵 数值优化 神经网络反向传播 图优化 概率论 随机过程 卡尔曼滤波 粒子滤波
source code of 人工智能实践:Tensorflow笔记 https://www.icourse163.org/course/PKU-1002536002?from=searchPage
End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo
C++ implementation to Detect, track and classify multiple objects using LIDAR scans
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
ddpg based methods in order to achieve higher performance in soocial comliance and avoiding moving obstacles.
【人工智能实践:Tensorflow 笔记 | https://www.icourse163.org/course/PKU-1002536002 】的讲义与代码
Implementation of the paper "Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning"
Training code for GA3C-CADRL algorithm (collision avoidance with deep RL)
ROS Robotic Deep Learning
Mobile Robot Path Planning Using Particle Swarm Optimization
ROS Bridge Driver for Carla Simulator package : https://github.com/carla-simulator/carla
ROS Learning Notes
Coursera Open Courses from University of Toronto
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