[JAG 2023] LiDAR localization at 100FPS: A map-aided and template descriptor-based global method
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Updated
Jan 25, 2025 - C++
[JAG 2023] LiDAR localization at 100FPS: A map-aided and template descriptor-based global method
This repository contains C++ code for implementation of Particle Filter to localize a vehicle kidnapped in a closed environment. This task was implemented to partially fulfill Term-II goals of Udacity's self driving car nanodegree program.
Implemented a C++ particle filter for real-time vehicle localization with only current visual observations and a map.
An implementation of a 2D particle filter in C++
Vehicle localization using a particle filter.
Localizing vehicle on 2d space using particle filter. Code tested on simulator (link in reedme)
Kidnapped Vehicle Project for Udacity Self-Driving Car Nanodegree
Find the vehicle in the world, given maps and lidar data!
Built a localizer to figure out where we are in a map.
[Udacity] Projects for Self-Driving Cars Nanodegree by Udacity
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