scott198510 Goto Github PK
Name: Scott Lee
Type: User
Company: xx_map
Bio: machine learning/data mining/image processing/driving navigation
Location: Shanghai.China
Name: Scott Lee
Type: User
Company: xx_map
Bio: machine learning/data mining/image processing/driving navigation
Location: Shanghai.China
IMU-Based 6-DOF Odometry
This project analyses signal data received from CAN bus in a car to determine the driving pattern of a car driver, and then evaluate eligibility for safe-driver price reduction for insurance.
Kalman Filter attitude estimator using gyro and accelerometer
This is a tensorflow implementation of "Autoencoder Regularized Network For Driving Style Representation Learning"
adaptive spatial point clustering algorithm, ASCDT
MatLAB and Python implementations for 6-DOF IMU attitude estimation using Kalman Filters, Complimentary Filters, etc.
Attitude estimation using madgwick filter
A paper list of lane detection.
A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes
Contains the 2nd prize winning solution in AXA's "Driver Telematics Driver Analysis" competition
This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).
Analysis and transport mode classification of the GeoLife GPS Trajectories Dataset
Python experiments with different clustering algorithms in a traffic accidents' database.
The goals / steps of this project are the following: Use the simulator to collect data of good driving behavior Build, a convolution neural network in Keras that predicts steering angles from images Train and validate the model with a training and validation set Test that the model successfully drives around track one without leaving the road Summarize the results with a written report
This is a tensorflow implementation of "Characterizing Driving Styles with Deep Learning".
citibike usage analysis in R
Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets
A technical report on convolution arithmetic in the context of deep learning
Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)
Learn and do some research about the trajectory datamining using geolife dataset with python.
Imputation of missing values in tables.
DBNet: A Large-Scale Dataset for Driving Behavior Learning
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
Jupyter notebooks for using & learning Keras
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Theano-based implementation of Deep Semi-NMF.
DEEPTRAVEL: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.