Using Unscented Kalman Filters to Fuse the Measurements Recorded by LIDAR and RADAR sensors of a Self Driving Car
-
Updated
Feb 3, 2018 - C++
Using Unscented Kalman Filters to Fuse the Measurements Recorded by LIDAR and RADAR sensors of a Self Driving Car
Extended Kalman Filter for self-driving cars with noisy LIDAR and RADAR measuremets in c++
Path Planner for self-driving cars in highway traffic
Sensor Fusion Camera Final Project Submission
Mobile Robot Development
Built a navigation stack using two different sensors - GPS & IMU, understand their relative strengths + drawbacks, and get an introduction to sensor fusion.
ROS/ROS2 -- Navigation, Manipulation, Mimicking, Sensor Fusion, VR, Speech Recogition, Activity Recognition, Computer Vision
Car's Position obtained through Sensor Fusion using an Extended Kalman Filter
A fast, efficient, and accurate orientation vector for Android.
Extended Kalman Filter Project for Self-Driving Car ND using C++
EKF for sensor fusion of Lidar and Radar data
This IoT based embedded system project focuses over the High Precision Temperature and Humidity Sensors like AMG8833 IR 8/8 Thermal Imager Array, DHT21 AM2301, DHT22 Digital, LM75A IIC II2 High Accuracy Digital and Panasonic Thermal Imaging Camera Sensor with the interfacing codes and mechanisms. All of the sensor data mechanism were fully funct…
Final project in ELE690 at UiS, University of Stavanger
Official implementation of paper "Exploring image fusion techniques for off-road semantic segmentation in harsh lighting conditions. A multispectral imagery analysis".
Code for the paper - 'Leveraging Monocular Infrastructure Cameras for Collaborative Multi-View Perception for Indoor Autonomous Mobile Robots'
SurfaceGPS: Multi-modal Localization for Facade Robots
BLE Python program to scan and connect the SensorTile device and enable BLE notification.
MSF - Modular framework for multi sensor fusion based on an Extended Kalman Filter (EKF)
Add a description, image, and links to the sensor-fusion topic page so that developers can more easily learn about it.
To associate your repository with the sensor-fusion topic, visit your repo's landing page and select "manage topics."