[JAG 2023] LiDAR localization at 100FPS: A map-aided and template descriptor-based global method
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Feb 4, 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.
[ISPRS JP&RS 2023] A Fast LiDAR Place Recognition and Localization Method by Fusing Local and Global Search
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++
Find the vehicle in the world, given maps and lidar data!
Localizing vehicle on 2d space using particle filter. Code tested on simulator (link in reedme)
Kidnapped Vehicle Project for Udacity Self-Driving Car Nanodegree
Vehicle localization using a particle filter.
[Udacity] Projects for Self-Driving Cars Nanodegree by Udacity
Built a localizer to figure out where we are in a map.
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