Výsledky vyhledávání

A Pseudo-likelihood Approach for Geo-localization of Events from Crowd-sourced Sensor-Metadata

Publikováno v: ACM Transactions on Multimedia Computing, Communications, and Applications. 15:1-26

Events such as live concerts, protest marches, and exhibitions are often video recorded by many people at the same time, typically using smartphone devices. In this work, we address the problem of geo-localizing such events from crowd-generated data.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1baf36f62395c0123f5ca7197c986ab3
https://doi.org/10.1145/3321701

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Autonomous Emergency Steering Using Deep Reinforcement Learning For Advanced Driver Assistance System

Autor: Kinsuk Sarkar, Satoru Araki, Abinav Kaushik, Ishaan Sood, Bharat Kumar Padi, Gakuyo Fujimoto, Misako Yoshimura, Amit More, Tsuchiya Masamitsu, Yuji Yasui, Tijmen Tieleman, Abdul Muneer, Matthew Dennison, Anil Hebber

Publikováno v: SICE

Although automobile technology has continuously evolved in recent years, there are still many traffic accidents all over the world. In order to reduce the number of traffic accidents, we focused on developing an emergency collision avoidance system.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4138dc0317df24af5331a8b298fd61b8
https://doi.org/10.23919/sice48898.2020.9240358

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Sustaining social entrepreneurship through networks in Dubai, United Arab Emirates

Autor: Bhakti Amit More, Rajesh Jayakar Pai

Publikováno v: Journal of Social Entrepreneurship. 9:215-233

This paper’s purpose is to elaborate the role of networks in the social entrepreneurial process and their positive outcomes. Social networks contribute to the establishment, sustenance and expansio...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5ff93430b4474bc163e641c43b4f1dab
https://doi.org/10.1080/19420676.2018.1498376

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A Neural Network Based Approach for Geo-Localizing Events in Crowd Sourced Videos

Autor: Subhasis Chaudhuri, Amit More

Publikováno v: ICVGIP

Popular events are often video recorded simultaneously by a general crowd using smartphones. In the present work, we propose a robust recurrent neural network (RNN) based approach for geo-localizing these events using sensor data collected by user sm

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9badee423ed06f01406e18b928254ec2
https://doi.org/10.1145/3293353.3293365

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Event geo-localization and tracking from crowd-sourced video metadata

Autor: Subhasis Chaudhuri, Amit More

Publikováno v: ICVGIP

We propose a novel technique for event geo-localization (i.e. 2-D location of the event on the surface of the earth) from the sensor metadata of crowd-sourced videos collected from smartphone devices. With the help of sensors available in the smartph

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::999588e08b8b545aa20cfff76bc4e777
https://doi.org/10.1145/3009977.3009993

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