Information sharing among autonomous vehicles crossing an intersection

Publications associées (25)

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Using A Priori Knowledge to Improve Scene Understanding

Alexandre Massoud Alahi

Semantic segmentation algorithms that can robustly segment objects across multiple camera viewpoints are crucial for assuring navigation and safety in emerging applications such as autonomous driving. Existing algorithms treat each image in isolation, but ...

IEEE2019

Small Variance Asymptotics for Non-Parametric Online Robot Learning

Sylvain Calinon, Ajay Kumar Tanwani

Small variance asymptotics is emerging as a useful technique for inference in large scale Bayesian non-parametric mixture models. This paper analyses the online learning of robot manipulation tasks with Bayesian non-parametric mixture models under small va ...

2019

The Navigation of Robotic Fiber Positioners in SDSS-V Project: Design and Implementation

Denis Gillet, Jean-Paul Richard Kneib, Matin Macktoobian

SDSS-V project is one of the major observational cosmological projects which aims to generate the map of the observable universe by collecting spectroscopic data from the sky using optical fibers. Each optical fiber is attached to a robotic positioner to b ...

IEEE2019

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

Alexandre Massoud Alahi, Agrim Gupta

Understanding human motion behavior is critical for autonomous moving platforms (like self-driving cars and social robots) if they are to navigate human-centric environments. This is challenging because human motion is inherently multimodal: given a histor ...

2018

Vehicle Dynamic Model Based Navigation for Small UAVs

Mehran Khaghani

The dominant navigation system for small civilian UAVs today is based on integration of inertial navigation system (INS) and global navigation satellite system (GNSS). This strategy works well to navigate the UAV, as long as proper reception of GNSS signal ...

EPFL2018

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

Decoding Neural Correlates of Cognitive States to Enhance Driving Experience

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Huaijian Zhang, Lucian Andrei Gheorghe, Sareh Saeedi, Zahra Khaliliardali, Marija Uscumlic, Ruslan Aydarkhanov

Modern cars can support their drivers by assessing and autonomously performing different driving maneuvers based on information gathered by in-car sensors. We propose that brain–machine interfaces (BMIs) can provide complementary information that can ease ...

2018

Assessment of VDM-based autonomous navigation of a UAV under operational conditions

Jan Skaloud, Mehran Khaghani

This paper presents extensions and practical realization of a previously proposed novel approach to navigation and sensor integration for small unmanned aerial vehicles (UAV). The proposed approach employs vehicle dynamic model (VDM) as process model withi ...

Elsevier2018

Vision Based Navigation for Autonomous Cooperative Docking of CubeSats

Camille Sébastien Pirat, Volker Gass

A realistic rendezvous and docking navigation solution applicable to CubeSats is investigated. The scalability analysis of the ESA Autonomous Transfer Vehicle Guidance, Navigation & Control (GNC) performances and the Russian docking system, shows that the ...

2018

Cooperative Perception Algorithms for Networked Intelligent Vehicles

Milos Vasic

The degree of intelligence built-in in today's vehicles in constantly on the rise. The vehicles are being equipped with sensors, with the goal to estimate the state of the vehicle and the environment surrounding it. Intelligent algorithms that process the ...

EPFL2017

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