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#

driving-behavior

Here are 35 public repositories matching this topic...

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

  • UpdatedMar 20, 2019
  • Python

lane change trajectories extracted from NGSIM

  • UpdatedApr 5, 2018
  • MATLAB

High-speed Autonomous Drifting with Deep Reinforcement Learning

  • UpdatedJan 16, 2021
  • Python

Simple visualization of NGSIM I-80 dataset

  • UpdatedOct 17, 2017
  • MATLAB

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

  • UpdatedMar 19, 2024
  • Python

NGSIM I-80 dataset Leader - Follower Vehicle Trajectory Pairs

  • UpdatedAug 6, 2018
  • MATLAB

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

  • UpdatedNov 26, 2024
  • Python
TelematicsApp-iOS

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

  • UpdatedSep 26, 2024
  • Objective-C

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

  • UpdatedApr 11, 2017
  • PHP

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.

  • UpdatedJul 31, 2018
  • Jupyter Notebook
telematicsSDK-demoapp-react

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

  • UpdatedDec 5, 2024
  • Java

decision-making processes of human drivers

  • UpdatedMar 28, 2024

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.

  • UpdatedFeb 26, 2025
  • Swift
telematicsSDK-demoapp-Android-java

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.

  • UpdatedJun 7, 2021
  • Java

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

  • UpdatedOct 24, 2018
  • Jupyter Notebook

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.

  • UpdatedJun 25, 2023

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.

  • UpdatedFeb 26, 2025
  • Objective-C

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