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Reactive Navigation in Crowds for Non-holonomic Robots with Convex Bounding Shape

Related publications (34)

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Learning nuisances to track pedestrians in autonomous vehicles

Alexandre Massoud Alahi, George Adaimi

Autonomous vehicles rely on an accurate perception module. One of the fundamental challenges is to efficiently track pedestrians surrounding a vehicle to anticipate risky situations. Over the past decades, researchers have formulated the tracking problem a ...

2018

Two management strategies for improving passenger transfer experience in train stations

Michel Bierlaire, Riccardo Scarinci, Nicholas Alan Molyneaux

Exploiting the full potential of pedestrian infrastructures in order to satisfy the demand induced by public transport modes is key to achieving good level-of-service for passengers during transfers. High temporal variability in demand can lead to high con ...

2018

Biomimetic adaptive control of a deployable tensegrity structure

Ann Christine Sychterz

Biomimetic behavior includes aspects such as learning from previous experience, self-diagnosis, and adaptation. This thesis describes control methodologies that are essential to development towards biomimetic behavior of a complex deployable structure. Sim ...

EPFL2018

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We introduce a modeling approach for pedestrian speed-density relationship. It is motivated by a high scatter in real data that precludes the use of traditional equilibrium relationships. To characterize the observed pattern we relax the homogeneity assump ...

2017

Data-driven fundamental models for pedestrian movements

Marija Nikolic

The focus of the thesis is the utilization of the data collected using state-of-the-art tracking technologies for the characterization and modeling of pedestrian movements. In this context, the main objectives are the development of (i) data-driven definit ...

EPFL2017

Data-driven spatio-temporal discretization for pedestrian flow characterization

Michel Bierlaire, Marija Nikolic

We propose a novel approach to pedestrian flow characterization. The definitions of density, flow and velocity existing in the literature are extended through a data-driven spatio-temporal discretization framework. The framework is based on three-dimension ...

Elsevier Science Bv2017

Accounting for Dynamics in Pedestrian multi-class speed-density relationship

Marc-Edouard Baptiste Grégoire Schultheiss

In this project, we propose a probabilistic modeling approach to represent the speed- density relationship of pedestrian traffic. The approach is data-driven and is motivated by the presence of high scatter in the raw data I have been provided with (tracki ...

2017

This thesis addresses two modeling problems related to pedestrian flows in train stations, namely that of estimating pedestrian origin-destination demand in rail access facilities, and that of describing the propagation of pedestrians in walking facilities ...

EPFL2016

Probabilistic speed-density relationship for pedestrian traffic

Michel Bierlaire, Matthieu Marie Cochon de Lapparent, Bilal Farooq, Marija Nikolic

We propose a probabilistic modeling approach to represent the speed-density relationship of pedestrian traffic. The approach is data-driven, and it is motivated by the presence of high scatter in the raw data that we have analyzed. We show the validity of ...

Pergamon-Elsevier Science Ltd2016

2016