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Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion

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Pedestrian typologies - nuanced considerations of urban walking

Vincent Kaufmann, Renate Albrecher

The analyses of urban environments, norms, micro-census and scientific studies reveal a variety of myths about pedestrians. One of them is the dominant representation of the pedestrian: A single person, usually with healthy body and in leisure mode. Pedest ...

2022

Pedestrian typologies - a sociological look on urban walkways

Vincent Kaufmann, Renate Albrecher

Representations of the pedestrian as a sole and healthy individual do not correspond to the reality and diversity of walking practices. The majority of urban pedestrians has to deal with constraints to their degrees of freedom in walking. We propose a typo ...

2022

Vehicle trajectory prediction works, but not everywhere

Alexandre Massoud Alahi, Seyed Mohsen Moosavi Dezfooli, Ahmad Rahimi, Saeed Saadatnejad, Mohammadhossein Bahari

Vehicle trajectory prediction is nowadays a fundamental pillar of self-driving cars. Both the industry and research communities have acknowledged the need for such a pillar by providing public benchmarks. While state-of-the-art methods are impressive, i.e. ...

IEEE2022

Dynamic control strategies for managing pedestrian flows

Nicholas Alan Molyneaux

Pedestrians, like drivers, generally dislike congestion. This is true for most pedestrian environments: trains stations, airports, or shopping malls. Furthermore, pedestrian congestion also influences the attractiveness of public transportation networks. T ...

EPFL2021

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This paper describes a novel method for non-holonomic robots of convex shape to avoid imminent collisions with moving obstacles. The method's purpose is to assist navigation in crowds by correcting steering from the robot's path planner or driver. We evalu ...

2021

Detecting 32 Pedestrian Attributes for Autonomous Vehicles

Alexandre Massoud Alahi, Taylor Ferdinand Mordan

Pedestrians are arguably one of the most safety-critical road users to consider for autonomous vehicles in urban areas. In this paper, we address the problem of jointly detecting pedestrians and recognizing 32 pedestrian attributes from a single image. The ...

2021

Pedestrian Intention Prediction: A Convolutional Bottom-Up Multi-Task Approach

Alexandre Massoud Alahi, Taylor Ferdinand Mordan

The ability to predict pedestrian behaviour is crucial for road safety, traffic management systems, Advanced Driver Assistance Systems (ADAS), and more broadly autonomous vehicles. We present a vision-based system that simultaneously locates where pedestri ...

2021

Real-time Nonlinear MPC Strategy with Full Vehicle Validation for Autonomous Driving

Colin Neil Jones, Petr Listov, Jean Pierre Allamaa

In this paper, we present the development and deployment of an embedded optimal control strategy for autonomous driving applications on a Ford Focus road vehicle. Non-linear model predictive control (NMPC) is designed and deployed on a system with hard rea ...

2021

Design and analysis of control strategies for pedestrian flows

Michel Bierlaire, Riccardo Scarinci, Nicholas Alan Molyneaux

Exploiting the full potential of pedestrian infrastructure is becoming critical in many environments which cannot be easily expanded to cope with the increasing pedestrian demand. This is particularly true for train stations as in many dense cities space i ...

SPRINGER2020

Driving is a very challenging task to automatize despite how naturally and efficiently it may come to experienced human drivers. The complexity stems from the need to (i) understand the surrounding context and forecast how it is likely to evolve, (ii) plan ...

EPFL2020