Passenger load forecasting can be valuable in transportation planning, operation management and for enriching the information available to passengers, particularly in high-density megacities. This paper investigates the long and short term forecasting of passenger loads in a transit network by using multiple sources of data (on-board headcount data...
Peer Review
This paper presents the integration of an UAV for the autonomous monitoring of rice crops. The system integrates image processing and machine learning algorithms to analyze multispectral aerial imagery. Our approach calculates 8 vegetation indices from the images at each stage of rice growth: vegetative, reproductive and ripening. Multivariable reg...
Peer Review
This paper presents a machine learning based method to predict the forest structure parameters from L-band polarimetric and interferometric synthetic aperture radar (PolInSAR) data acquired by the airborne UAVSAR system over the Réserve Faunique des Laurentides in Québec, Canada. The main objective of this paper is to show that relevant parameters ...
The increase in the amount of data collected in the transport domain can greatly benefit mobility studies and help to create high value-added mobility services for passengers as well as regulation tools for operators. The research detailed in this paper is related to the development of an advanced machine learning approach with the aim of forecasti...
CASPT 2018, Conference on Advanced Systems in Public Transport and TransitData 2018, Brisbane, AUSTRALIE, 23-/07/2018 - 25/07/2018
This paper proposes a method of denoising SAR images, using a deep learning method, which takes advantage of the abundance of data to learn on large stacks of images of the same scene. The approach is based on the use of convolu-tional networks, used as auto-encoders. Learning is led on a large pile of images acquired on the same area, and assumes ...
L’estimation de la profondeur monoculaire à l’aide de réseaux de neurones profonds a atteint aujourd’hui d’excellentes performances. Cependant, il est difficile d’établir l’influence respective de l’architecture, de la fonction de coût et des conditions d’expérimentations sur ces résultats. Dans cet article, nous présentons une nouvelle architectur...
学位規則第4条第1項該当
