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kitti_to_rosbag

Dataset tools for working with the KITTI dataset raw data ( http://www.cvlibs.net/datasets/kitti/raw_data.php ) and converting it to a ROS bag. Also allows a library for direct access to poses, velodyne scans, and images.

lanenet-lane-detection

Implemention of lanenet model for real time lane detection using deep neural network model https://maybeshewill-cv.github.io/lanenet-lane-detection/

laser-line-segment

A novel algorithm about laser line segment extraction using 2D laser data.

laser-refinery

ROS:: Refine the laser data (in a sensor_msgs/LaserScan), delete bad points and outliers. Can be used before you handle laser data. (Now only tested in Fuerte)

laser_filters

Assorted filters designed to operate on 2D planar laser scanners, which use the sensor_msgs/LaserScan type.

laser_line_extraction

A ROS packages that extracts line segments from LaserScan messages.

laser_odometry

A pluginlib-based package for laser-odometry

laser_odometry_rf2o

A laser_odometry wrapper for rf2o.

laser_slam

This package provides an end-to-end system to laser-based graph SLAM using laser point clouds.

lasermeasurement

an kalman filter implementation for laser measurement

laserscan_to_occupancy_grid_map

Converts ROS sensor_msgs/LaserScan messages to nav_msgs/OccupancyGrid via costmap2d / move_base

laserslam

SLAM using 2D lidar

libpf

Simple, easy to use C++ library for particle filters.

libpointmatcher

An "Iterative Closest Point" library for 2-D/3-D mapping in Robotics

lidar_correction

Implementation of the "LiDAR point clouds correction acquired from a moving car based on CAN-bus data" paper by Merriaux et al.

lidar_slam_3d

3d lidar slam package.

lidarpotentialfield

Artificial potential field collision avoidance implementation on a 360 Lidar in a holonomic mobile robot.

loam_continuous

loam SLAM with continuous scanning 2D laser, modified to work under ROS indigo and catkin

loam_velodyne

Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

machine_learning_python

通过阅读网上的资料代码，进行自我加工，努力实现常用的机器学习算法。实现算法有KNN、Kmeans、EM、Perceptron、决策树、逻辑回归、svm、adaboost、朴素贝叶斯

map_merging

A ROS package provides a node for merging multiple maps by knowing the initial relative positions of robots

map_server

map_server for Cartographer

mapf

CS261A Project: Multi-Agent Pathfinding

mapfscenario

mat-pso-localization

Mobile robot localization using Particle Swarm Optimization

matlabrobotics

MATLAB sample codes for mobile robot navigation

matrixfunction

【非原创】【授权协议: MIT】C++矩阵计算相关函数源码。转载自http://my.oschina.net/zmjerry/blog

mcl_3dl

mcl_3dl is a ROS node to perform a probabilistic 3-D/6-DOF localization system for mobile robots with 3-D LIDAR(s). It implements pointcloud based Monte Carlo localization that uses a reference pointcloud as a map.

mpc_path_follower_ros

based on ros navigation stack, using mpc to do path tracking

mpl_ros

A ROS wrapper for trajectory planning based on motion primitives