Particle-filter Tracking End of Study project
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Updated
Mar 3, 2016 - C++
Particle-filter Tracking End of Study project
Using particle filter to localise the vehicle based on map measurements and sensor measurments
a c++ library for the estimation of state-space models
Robotics projects from Udacity Nanodegree program
Localization (Kidnapped Vehicle) Project for Self-Driving Car ND using C++
Self-driving Car Nano-degree. Term 2: Localization. Project 3: Particle Filter
Implementation of Particle Filter algorithm for localization of a self driving car
Built a localizer to figure out where we are in a map.
Udaccity Self Driving Nanodegree Project 7
Locate a Kidnapped car by using a particle filter to identify map landmarks
the project of CarND-Kidnapped-Vehicle
Build a particle filter in c++ to localize a vehicle in a map given that map and some initial localization information , observation and control data.
Implemented a particle filter in order to accuractly localize a vehicle using sensor measurements, an initial noisy GPS reading, and a map of the region.
Udacity Self Driving Engineer Nanodegree - Term 2 - Project 3 - Kidnapped Vehicle
Udacity Robotics Software Engineer Nanodegree
c++ implementation of 2D particle filter
Project #6 of the Self-Driving Car Engineer Nanodegree Program: Kidnapped Vehicle
Use particle filter for localization
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