Popular GitHub Repositories for Sensors

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

The project can achieve FCWS, LDWS, and LKAS functions solely using only visual sensors. using YOLOv5 / YOLOv5-lite / YOLOv6 / YOLOv7 / YOLOv8 / YOLOv9 / EfficientDet and Ultra-Fast-Lane-Detection-v2 .

Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.

Deep Learning-Based Gait Recognition Using Smartphones in the Wild

Dockerized ROS2 stack for the WATonomous Autonomous Driving Software Pipeline

The official implementation of our ECCV 2020 paper "Learning Camera-Aware Noise Models".

Introducing various sensors to our Gazebo Harmonic simulation

TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation

Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Leveraging these realistic synthetic DP images, we introduce a new recurrent convolutional network (RCN) architecture that can improve defocus deblurring results and is suitable for use with single-frame and multi-frame data captured by DP sensors.

Implementation of the paper Using Synthetic Data to Enhance the Accuracy of Fingerprint-Based Localization: A Deep Learning Approach (IEEE Sensors Letters, 2020), which utilizes Generative Adversarial Networks (GANs) for indoor localiztaion.

False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics

A1 SLAM: Quadruped SLAM using the A1's onboard sensors

Intelligent Vehicle Perception Based on Inertial Sensing and Artificial Intelligence

Transportation Mode Detection with Unconstrained Smartphones Sensors

? A repository for documenting and exploring the world of autonomous driving safety, featuring a curated collection of research papers, reports, and resource.

Official implementation of the paper "Maximizing Self-supervision from Thermal Image for Effective Self-supervised Learning of Depth and Ego-motion"

Packages for Nova Carter support

Deep Learning applied to predictive maintenance use cases

SensorAndAi is an android application which will give you the complete information about all the sensors and some basic information about artificial intelligence.This application will tell you about the use and implementation of the sensor and artificial intelligence.This app will show you how sensor and artificial intelligence is used in any android project. It will also give you all the updates related to sensor and artificial intelligence.

Simulator for Reinforcement Learning and AI. 2D environments with physics and interactive entities. Agents with rich sensors and actuators.