A driving simulator to test concentration while driving

decision-making processes of human drivers

This is an app that demonstrates using of the Telematics SDK and walks you through the integration. The SDK tracks user location and driving behavior such as speeding, cornering, braking, distracted driving, and other parameters.

Predicting driving behavior with machine learning involves using algorithms and statistical models to analyze data of driving pattern.

Evolutionary Path Finding.

A driver assistance system that will remind a driver to follow eco-driving principles when a certain principle is violated

An Implementation of Fatigue Driving Detect, Huawei Cloud Track, 18th Challenge Cup

Driving behaviour classification using acceleration and rotation data.

This is an app that demonstrates using of the Telematics SDK and walks you through the integration. The SDK tracks user location and driving behavior such as speeding, cornering, braking, distracted driving, and other parameters.

An OBD-II Trip Analysis Dashboard

This repository contains the algorithms implementation for vehicles scheduling, dispatching and planning in complicated scenarios such as intersection, junction etc. Currently we are developing learnable driving policies module via inverse reinforcement learning algorithms.

Learning when agent can talk to drivers using PazNet

End-to-End learning for cloning human driving behavioral

Path Planning Project in the Udacity's Self Driving Car Engineer Course

The Demo app introduces the Telematics SDK integration for Android.

Deep Learning and Entity Embeddings to predict driving behaviour and cluster accident hotspots

Telematics SDK Login and authentication framework for iOS apps

Telematics SDK Login and authentication framework for Android apps

This is an app that demonstrates using of the Telematics SDK and walks you through the integration. The SDK tracks user location and driving behavior such as speeding, cornering, braking, distracted driving, and other parameters.