Autonome Mobile Systeme (Volker Sommer)
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Updated
Jan 30, 2014 - C++
Autonome Mobile Systeme (Volker Sommer)
Generic Sensor Fusion Package for ROS
This project uses Qt framework and Opencv library
FIltro Kalman para arduino
Modeling and tracking of overdriveable ground using stereo vision
Extended Kalman Filter / Sensor Fusion Project
Extended Kalman Filter - Using data from sensors like Radar and LIDAR, perform object tracking for Self Driving Cars using the extended Kalman Filter.
Kalman Filter for Pose estimation using Lie Algebra
Self-Driving Car Nanodegree Program Starter Code for the Unscented Kalman Filter Project
Unscented Kalman Filter (in C++) for Self-Driving Car (AV) Project. Using Sensor Fusion, combines noisy data from Radar and LIDAR sensors on a self-driving car to predict a smooth position for seen objects.
Udacity Self-Driving Car Engineer Nanodegree. Project: Extended Kalman Filters
Sensor Fusion: Unscented Kalman Filter, LiDAR&RADAR
Implementing Extended Kalman Filter in C++
Self-Driving Car Nanodegree Program: Unscented Kalman Filter Project
Extended Kalman Filter for Self Driving Car
Udacity Self-Driving Car Engineer Nanodegree. Project: Unscented Kalman Filters
C++ implementation of Unscented Kalman Filter
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