driving-behavior
There are 33 repositories under driving-behavior topic.
driving-behavior/DBNet
DBNet: A Large-Scale Dataset for Driving Behavior Learning, CVPR 2018
donnydcy/LC_NGSIM
lane change trajectories extracted from NGSIM
caipeide/drift_drl
High-speed Autonomous Drifting with Deep Reinforcement Learning
cemsaz/NGSIM-trajectory-animation
Simple visualization of NGSIM I-80 dataset
Ekim-Yurtsever/DeepTL-Lane-Change-Classification
Driving risk assessment with deep learning using a monocular camera. Related paper: https://arxiv.org/abs/1906.02859
cemsaz/NGSIM-trajectories
NGSIM I-80 dataset Leader - Follower Vehicle Trajectory Pairs
Mobile-Telematics/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
Automile/automile-php
Automile offers a simple, smart, cutting-edge telematics solution for businesses to track and manage their business vehicles.
Nobody-Zhang/huaweicloud_2023
An Implementation of Fatigue Driving Detect, Huawei Cloud Track, 18th Challenge Cup
Automile/automile-net
Automile offers a simple, smart, cutting-edge telematics solution for businesses to track and manage their business vehicles.
YunSolutions/levin-openData
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.
Mobile-Telematics/telematicsSDK-demoapp-react
Demo telematics app for React-Native. The application walks you through the telematics SDK integration.
JamesSingleton/All-Driving-Data
A mobile app created off of Comma.ai mobile app chffr
AIR-DISCOVER/Driving-Thinking-Dataset
decision-making processes of human drivers
Mobile-Telematics/LoginAuthFramework-Android
Telematics SDK Login and authentication framework for Android apps
Mobile-Telematics/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.
Mobile-Telematics/telematicsSDK-demoapp-iOS-swift
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.
ajinkyaT/Deep_learning_Entity_Embeddings
Deep Learning and Entity Embeddings to predict driving behaviour and cluster accident hotspots
Mobile-Telematics/LoginAuthFramework-iOS
Telematics SDK Login and authentication framework for iOS apps
Mobile-Telematics/telematicsSDK-demoapp-iOS-objective-c
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.
BillChan226/CAV-intelligence
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.
estevanmendes/Driving-pattern-EDA-and-AI
Driving behaviour classification using acceleration and rotation data.
liferlisiqi/Bebavioral-Cloning
End-to-End learning for cloning human driving behavioral
Mobile-Telematics/telematicsSDK-demoapp-Android-kotlin
The Demo app introduces the Telematics SDK integration for Android.
RATHOD-SHUBHAM/DriverAssistant
Upon sleep detection, the code will trigger notifications that include a combination of gentle vibrations on the watch and an escalating audio alert on the phone. This approach provides a multi-sensory wake-up cue to increase the user's chance of being roused from sleep.
YashRevannavar/DrivingBehavior
Predicting driving behavior with machine learning involves using algorithms and statistical models to analyze data of driving pattern.
barroo8/Driving-Simulator
A driving simulator to test concentration while driving
mr-mohan-v/Driver-Assistance-System
A driver assistance system that will remind a driver to follow eco-driving principles when a certain principle is violated
Ninkuk/Hows-My-Driving-Python
An OBD-II Trip Analysis Dashboard
ShreevathsaGP/EvolutionaryPathfinding
Evolutionary Path Finding.
twmoveon/INAGT-code
Learning when agent can talk to drivers using PazNet
vigneshr97/Highway-Driving
Path Planning Project in the Udacity's Self Driving Car Engineer Course