Popular GitHub Repositories for Prtg 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 .

Deep Learning-Based Gait Recognition Using Smartphones in the Wild

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.

Dockerized ROS2 stack for the WATonomous Autonomous Driving Software Pipeline

Introducing various sensors to our Gazebo Harmonic simulation

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

TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation

[AAAI-2024] HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

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

Packages for Nova Carter support

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"

Deep Learning applied to predictive maintenance use cases

123D: A Library for Driving Datasets