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6-dof-inertial-odometry

IMU-Based 6-DOF Odometry

analysis-of-can-bus-data-in-automobiles

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.

arduino_kf

Kalman Filter attitude estimator using gyro and accelerometer

arnet

This is a tensorflow implementation of "Autoencoder Regularized Network For Driving Style Representation Learning"

ascdt-clustering

adaptive spatial point clustering algorithm, ASCDT

attitude-estimation

MatLAB and Python implementations for 6-DOF IMU attitude estimation using Kalman Filters, Complimentary Filters, etc.

attitude_estimation

Attitude estimation using madgwick filter

awesome-lane-detection

A paper list of lane detection.

awesome-lidar-camera-calibration

A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes

axa_telematics

Contains the 2nd prize winning solution in AXA's "Driver Telematics Driver Analysis" competition

baidutraffic

This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).

beijing-trajectories-project

Analysis and transport mode classification of the GeoLife GPS Trajectories Dataset

brits

businessintelligence-clustering

Python experiments with different clustering algorithms in a traffic accidents' database.

carnd-behavioral-cloning-p3

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

characterizingdrivingstyleswithdeeplearning

This is a tensorflow implementation of "Characterizing Driving Styles with Deep Learning".

citibike-data

citibike usage analysis in R

comparing-trajectory-clustering-methods

Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

convmf

Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)

datamining-geolife-with-python

Learn and do some research about the trajectory datamining using geolife dataset with python.

datawig

Imputation of missing values in tables.

dbnet

DBNet: A Large-Scale Dataset for Driving Behavior Learning

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

deep-learning-with-keras-notebooks

Jupyter notebooks for using & learning Keras

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-semi-nmf

Theano-based implementation of Deep Semi-NMF.

deeptravel

DEEPTRAVEL: a Neural Network Based Travel Time Estimation Model with Auxiliary Supervision

deeptravel-preprocessing

deeptravel-preprocessing-1