Point cloud registration pipeline for robot localization and 3D perception
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Updated
May 28, 2024 - C++
Point cloud registration pipeline for robot localization and 3D perception
The framework for visual place recognition in outdoor environments using image sequences.
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.
Implementation of sensor fusion with the Marvelmind Indoor GPS ultrasonic beacons! (With custom message adapters and the Linorobot stack!)
Unscented Kalman Filter using IMU and GNSS data for vehicle or mobile robot localization
This project builds a ROS-based Autonomous Robot from scratch
High-performance localization software for autonomous vehicles. A particle filter is combined with a map to localize a vehicle.
A modular software architecture for Automatic Plant Phenotyping
Programming assignment for Intro to Artificial Intelligence.
Particle Filter implementation : implement a particle filter and combine it with a real map to localize an object. Particle filter uses data and a map to determine the precise location of an object such as a robot or a vehicle.
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