Alternatives and similar repositories for ExtendedKalmanFilter

Users that are interested in ExtendedKalmanFilter are comparing it to the libraries listed below

• pixmoving-moveit / Autoware_tutorial
  ☆65Updated 7 years ago
• mithi / fusion-ekf-python
  An extended Kalman Filter implementation in Python for fusing lidar and radar sensor measurements
  ☆68Updated 7 years ago
• astuff / astuff_sensor_msgs
  A set of messages specific to each sensor supported by AutonomouStuff.
  ☆48Updated 2 years ago
• AinsteinAI / ainstein_radar
  ROS support for Ainstein radar sensors.
  ☆46Updated last year
• ser94mor / sensor-fusion
  Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar
  ☆186Updated 6 years ago
• jack-oquin / velodyne_height_map
  ROS obstacle detection for 3D point clouds using a height map algorithm.
  ☆80Updated 5 years ago
• YoungGer / Udacity-SensorFusion-NanoDegree
  This is my Sensor Fusion projects with Udacity ND.
  ☆29Updated 5 years ago
• zhujun98 / sensor-fusion
  Kalman filter, sensor fusion
  ☆271Updated 4 years ago
• studian / SFND_P1_Lidar_Obstacle_Detection
  Udacity Sensor Fusion P1 on Lidar Obstacle Detection
  ☆21Updated 6 years ago
• YoungGer / Udacity-SelfDrivingCar-NanoDegree
  This is my Self-Driving Car projects with Udacity ND.
  ☆70Updated 2 years ago
• mfilipen / sensor-fusion-lidar-imu
  ☆49Updated 7 years ago
• appinho / SASensorFusionLocalization
  Sensor Fusion and Localization related projects of Udacity's Self-driving Car Nanodegree Program:
  ☆45Updated 7 years ago
• swri-robotics / novatel_gps_driver
  ROS driver for NovAtel GPS / GNSS receivers
  ☆174Updated 4 months ago
• udacity / SFND_Unscented_Kalman_Filter
  ☆80Updated 3 years ago
• ChenBohan / Udaicty-CarND-State-Estimation-02-Lidar-and-Radar-Fusion-with-EKF
  Udacity Self-Driving Car Engineer Nanodegree - Term 2 - Lesson 6 - Lidar and Radar Fusion with EKF in C++.
  ☆29Updated 5 years ago
• LCAS / bayestracking
  C++ framework for Bayesian Filter Tracking (UKF, EKF, Particles)
  ☆147Updated 5 years ago
• JunshengFu / tracking-with-Unscented-Kalman-Filter
  Object (e.g Pedestrian, biker, vehicles) tracking by Unscented Kalman Filter (UKF), with fused data from both lidar and radar sensors.
  ☆167Updated 4 years ago
• balzer82 / 3D-OccupancyGrid-Python
  An Occupancy Grid Representation in Python
  ☆75Updated 9 years ago
• mithi / fusion-ekf
  An extended Kalman Filter implementation in C++ for fusing lidar and radar sensor measurements.
  ☆139Updated 7 years ago
• mithi / point-cloud-clusters
  A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.
  ☆66Updated 5 years ago
• hb0702 / Didi_Challenge_2017_ROS
  Goal of project was to detect vehicles and pedestrians using Lidar points in real time. This uses ROS nodes.
  ☆30Updated 4 years ago
• MyNameIsCosmo / lidar_body_tracking
  ROS Catkin package to track people using octree and cluster extraction
  ☆78Updated 8 years ago
• OSLL / tiny-slam-ros-cpp
  TinySLAM implementation for ROS (C++ version)
  ☆59Updated 5 years ago
• lgsvl / Autoware
  Open-Source To Self-Driving.
  ☆60Updated 6 years ago
• ksakmann / Unscented-Kalman-Filter
  Unscented Kalman Filter using LIDAR and RADAR measurements for pedestrian tracking
  ☆24Updated 8 years ago
• yzrobot / online_learning
  [ROS package] Online Learning for Human Detection in 3D Point Clouds
  ☆164Updated 3 years ago
• UTS-RI / Robot-Localization-examples
  This code is associated with the paper submitted to Encyclopedia of EEE titled: Robot localization: An Introduction
  ☆29Updated 9 years ago
• ksakmann / Particle-Filter
  A particle filter to localize a car using LIDAR data
  ☆40Updated 8 years ago
• OanaGaskey / Extended-Kalman-Filter
  Sensor fusion algorithm using LiDAR and RADAR data to track moving object, predicting and updating dynamic state estimation.
  ☆38Updated 5 years ago
• gyubeomim / V-Rep-Autonomous-Vehicle-Simulator
  V-Rep VRep Autonomous Vehicle Simulator with ROS, Velodyne + IMU + GPS + Localization Data + tf
  ☆59Updated 5 years ago