Mark Jin's repositories
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.
LIO_SAM_6AXIS
LIO_SAM for 6-axis IMU and low-cost GNSS.
AutowareArchitectureProposal.proj
This is the source code of the feasibility study for Autoware architecture proposal.
graph_mind
a visuialized machine learning tool
hello_world
the essential information of ahuazuipiaoliang
lidar_align
A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor
Machine_Learning
study of machine learning
ndt_mapping
ROS1 package of localization and mapping in Autoware
Ouster-fw1.14-for-apollo5.5
By WhaleDynamics 202003
ouster_example
Ouster, Inc. sample code
ros-install-osx
Installing ROS on OS X.
ros-kinetic-install-osx
install ros kinetic on osx sierra
self-driving-car
Udacity Self-Driving Car Engineer Nanodegree projects.
symbolic_schedule
Implementing a generic symbolic planner. It takes an environment object as an input, and outputs a sequence of actions to go from the start to the goal.