Ground Truth

The goal of the project is to develop a predictive model that will help to make a better estimate of the relative altitude using only the barometer sensor inside the Notio device. This measurement of a precise relative altitude is crucial since it is used to compute the slope, which is an important data for the cyclist and will make the Notio even better. The difficulty of this task comes from the fact that the measurement of the altitude from the sensor has a tendency to drift and thus the computed slope also does. A dataset using more precise equipments for the altitude measurement (which can’t be used in the Notio device for various reasons) is used to train a model to help correct the altitude of the Notio sensor.

Faculty Supervisor:

Yoshua Bengio

Student:

David Abraham

Partner:

Notio

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Université de Montréal