Peter guo's repositories
dvs-panotracking
This repository accompanies our ICCP 2017 publication "Real-Time Panoramic Tracking for Event Cameras"
ethzasl_icp_mapping
3D mapping tools for robotic applications
gerona
GeRoNa (Generic Robot Navigation) is a modular robot navigation framework, that bundles path planning and path following (including obstacle detection) and manages communication between the individual modules. It is designed to be easily extensible for new tasks and robot models.
ICRA2018
Matlab code used for the paper "Unscented Kalman Filtering on Lie Groups for Fusion of IMU and Monocular Vision"
laser_odometry
A pluginlib-based package for laser-odometry
LOAM_NOTED
loam code noted in Chinese(loam中文注解版)
loam_velodyne
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
msckf_vio
Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight
pepper_obs_avoid
Obstacle avoidance with Pepper using the laser sensors
pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
QuadProgpp
A C++ library for Quadratic Programming which implements the Goldfarb-Idnani active-set dual method.
SLAM_AND_PATH_PLANNING_ALGORITHMS
This repository contains the solutions to all the exercises for the MOOC about SLAM and PATH-PLANNING algorithms given by professor Claus Brenner at Leibniz University. This repository also contains my personal notes, most of them in PDF format, and many vector graphics created by myself to illustrate the theoretical concepts. Hope you enjoy it! :)
SqueezeSeg
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
stanford_self_driving_car_code
Stanford Code From Cars That Entered DARPA Grand Challenges
Unscented-Kalman-Filter
Tracks the path path vehicle using non-linear functions
Visual-SLAM-and-Visual-Inertial-Odometry-using-Lidar-and-Monocular-camera-
Final project for EECE-5698 Robot sensing and navgation.
waypoint_nav
This package performs outdoor GPS waypoint navigation using move_base, robot_localization, gmapping and others. It can navigate while building a map, avoiding obstacles, and can navigate continuously between each goal.