Publications associées à Lecture automatisée de plaques d'immatriculation

Boosting of contextual information in ASR for air-traffic call-sign recognition

Contextual adaptation of ASR can be very beneficial for multi-accent and often noisy Air-Traffic Control (ATC) speech. Our focus is call-sign recognition, which can be used to track conversations of ATC operators with individual airplanes. We developed a t ...

ISCA-INT SPEECH COMMUNICATION ASSOC2021

Lane Detection and Lane Changing Phenomena Identification with Data from a Swarm of Drones

Nikolaos Geroliminis, Emmanouil Barmpounakis

In the era of big data, new transportation-related concepts and methodologies need to be proposed for understanding how congestion propagates. pNEUMA, a unique dataset that was acquired during a first-of-its-kind experiment with a swarm of drones over a de ...

2020

Lane Detection and Lane-Changing Identification with High-Resolution Data from a Swarm of Drones

Nikolaos Geroliminis, Emmanouil Barmpounakis

In the era of big data, new transportation-related concepts and methodologies need to be proposed to understand how congestion propagates. pNEUMA, a unique dataset that was acquired during a first-of-its-kind experiment using a swarm of drones over a dense ...

National Academy of Sciences2020

Dynamic lane restrictions on congested arterials

Nikolaos Geroliminis, Paul Richard Anderson

Buses operating in mixed traffic experience problems with delay and travel time variability in peak periods. Numerous transit priority measures are found in the literature but most rely on separating buses from other vehicles. Complete separation such as d ...

PERGAMON-ELSEVIER SCIENCE LTD2020

Area-based equitable pricing strategies for multimodal urban networks with heterogeneous users

Nikolaos Geroliminis, Nan Zheng

Equity issues among travellers are critical in congestion pricing. Failure to treat equity can lead to low acceptability towards pricing. In this paper, we develop congestion pricing schemes to improve both equity and traffic performance, for multimodal ne ...

PERGAMON-ELSEVIER SCIENCE LTD2020

UAV-Based Situational Awareness System Using Deep Learning

Wenlong Deng

Situational awareness by Unmanned Aerial Vehicles (UAVs) is important for many applications such as surveillance, search and rescue, and disaster response. In those applications, detecting and locating people and recognizing their actions in near real-time ...

2019

Detecting EEG correlates during preparation of complex driving maneuvers

Lucian Andrei Gheorghe

The main focus of this research is the development of real-time recording and analysis devices and algorithms for detecting Electroencephalography (EEG) correlates of steering actions. First, offline analysis where performed in a high fidelity driving simu ...

EPFL2017

An Electrostatic Ion-guide and a High-resolution Thrust-stand for Characterization of Micro-propulsion Devices

Subha Chakraborty

Interest in microthrusters has grown significantly in the last two decades for possible applications in small satellites and deep space missions. This thesis is motivated by the need of experimental setup for characterization of microthrusters. In the firs ...

EPFL2015

Robust Real-time Pedestrians Detection in Urban Environments with a Network of Low Resolution Cameras

Michel Bierlaire, Pierre Vandergheynst, Alexandre Massoud Alahi

Detecting that pedestrians are present in front of a vehicle is highly desirable to avoid dangerous traffic situations. A novel vision-based system is presented to automatically detect far-away pedestrians with low-resolution cameras mounted in vehicles gi ...

Elsevier2014

Estimation of Arterial Travel Time from Automatic Number Plate Recognition Data

Evanthia Kazagli

Automatic vehicle identification (AVI) systems are increasingly used for the collection of traffic data in urban and freeway networks. Several methods have been proposed for the estimation of travel times from AVI data, mainly for freeways. The problem of ...

National Academy of Sciences2013