DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018

lane change trajectories extracted from NGSIM

High-speed Autonomous Drifting with Deep Reinforcement Learning

Simple visualization of NGSIM I-80 dataset

Driving risk assessment with deep learning using a monocular camera. Related paper: https://arxiv.org/abs/1906.02859

NGSIM I-80 dataset Leader - Follower Vehicle Trajectory Pairs

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

Zenroad - Open-source telematics app for iOS. The application is suitable for UBI (Usage-based insurance), shared mobility, transportation, safe driving, tracking, family trackers, drive-coach, and other driving mobile applications

Automile offers a simple, smart, cutting-edge telematics solution for businesses to track and manage their business vehicles.

Automile offers a simple, smart, cutting-edge telematics solution for businesses to track and manage their business vehicles.

At Yuñ Solutions, we are committed to democratize technology and make information accessible to all. We are sharing the data collected from our proprietary OBD device (LEVIN) during beta testing. The shared data has been collected for almost 4 months on 30 cars.

Demo telematics app for React-Native. The application walks you through the telematics SDK integration.

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.

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.

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

Telematics SDK Login and authentication framework for iOS apps

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.

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.