Publications related to Automatic number-plate recognition

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

Differentiable Patch Selection for Image Recognition

Jean-Baptiste Francis Marie Juliette Cordonnier, Aravindh Mahendran

Neural Networks require large amounts of memory and compute to process high resolution images, even when only a small part of the image is actually informative for the task at hand. We propose a method based on a differentiable Top-K operator to select the ...

IEEE COMPUTER SOC2021

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 ...

SAGE PUBLICATIONS INC2020

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

Action Units and Their Cross-Correlations for Prediction of Cognitive Load during Driving

Jean-Philippe Thiran, Anil Yuce, Hua Gao, Gabriel Louis Cuendet

Driving requires the constant coordination of many body systems and full attention of the person. Cognitive distraction (subsidiary mental load) of the driver is an important factor that decreases attention and responsiveness, which may result in human err ...

Ieee-Inst Electrical Electronics Engineers Inc2017

SpotCaliper: Fast Wavelet-Based Spot Detection with Accurate Size Estimation

Michaël Unser, Daniel Sage, Zsuzsanna Püspöki, John Paul Ward

Motivation: SpotCaliper is a novel wavelet-based image-analysis software providing a fast automatic detection scheme for circular patterns (spots), combined with the precise estimation of their size. It is implemented as an ImageJ plugin with a friendly us ...

Oxford Journals2016

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Automatic number-plate recognition

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

Differentiable Patch Selection for Image Recognition

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

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

Dynamic lane restrictions on congested arterials

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

UAV-Based Situational Awareness System Using Deep Learning

Detecting EEG correlates during preparation of complex driving maneuvers

Action Units and Their Cross-Correlations for Prediction of Cognitive Load during Driving

SpotCaliper: Fast Wavelet-Based Spot Detection with Accurate Size Estimation

Graph Chatbot

Chat with Graph Search

Differentiable Patch Selection for Image Recognition

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

Dynamic lane restrictions on congested arterials

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

Action Units and Their Cross-Correlations for Prediction of Cognitive Load during Driving

Detecting EEG correlates during preparation of complex driving maneuvers

SpotCaliper: Fast Wavelet-Based Spot Detection with Accurate Size Estimation

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

UAV-Based Situational Awareness System Using Deep Learning