Publications associées à Lexus LS

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 ...

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Detecting 32 Pedestrian Attributes for Autonomous Vehicles

Alexandre Massoud Alahi, Taylor Ferdinand Mordan

IEEE2020

Robust Asynchronous Indoor Localization Using Led Lighting

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We propose a low-cost system for indoor self-localization of mobile devices using modulated LED ceiling lamps that are fully autonomous and broadcast their identifiers without any synchronization. The proposed self-localization method is designed to handle ...

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3D turbulence measurements in inhomogeneous boundary layers with three wind LiDARs

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One of the most challenging tasks in atmospheric anemometry is obtaining reliable turbulence measurements of inhomogeneous boundary layers at heights or in locations where is not possible or convenient to install tower-based measurement systems, e.g. mount ...

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Real-time vehicle tracking for driving assistance

Pascal Fua, Andrea Fossati, Patrick Merryl Marlon Schönmann

Detecting car taillights at night is a task which can nowadays be accomplished very fast on cheap hardware. We rely on such detections to build a vision-based system that, coupling them in a rule-based fashion, is able to detect and track vehicles. This al ...

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Learning User Habits for Semi-Autonomous Navigation Using Low Throughput Interfaces

José del Rocio Millán Ruiz, Roland Siegwart, Ricardo Andres Chavarriaga Lozano, Xavier Perrin

This paper presents a semi-autonomous navigation strategy aimed at the control of assistive devices (e.g. intelligent wheelchair) using low throughput interfaces. A mobile robot proposes the most probable action, as analyzed from the environment, to a huma ...

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