DriveAware: Generating Actionable Data through Vehicle-Based Citizen Science

Research output: Contribution to journal › Article › peer-review

Abstract

Submission to the May 2022 LUC Computer Science Research Symposium Submission type: lightning talk/demo hybrid

Original language	American English
Journal	Computer Science Research Seminars and Symposia
State	Published - 1800

@article{e2c37796354a47629705db717ca88587,

title = "DriveAware: Generating Actionable Data through Vehicle-Based Citizen Science",

abstract = " Submission to the May 2022 LUC Computer Science Research Symposium Submission type: lightning talk/demo hybrid",

author = "\{de Landaluce\}, Alvaro and \{Sinche Chele\}, Federico and Loretta Stalans and George Thiruvathukal and Konstantin L{\"a}ufer",

year = "1800",

language = "American English",

journal = "Computer Science Research Seminars and Symposia",

}

TY - JOUR

T1 - DriveAware: Generating Actionable Data through Vehicle-Based Citizen Science

AU - de Landaluce, Alvaro

AU - Sinche Chele, Federico

AU - Stalans, Loretta

AU - Thiruvathukal, George

AU - Läufer, Konstantin

PY - 1800

Y1 - 1800

N2 - Submission to the May 2022 LUC Computer Science Research Symposium Submission type: lightning talk/demo hybrid

AB - Submission to the May 2022 LUC Computer Science Research Symposium Submission type: lightning talk/demo hybrid

UR - https://ecommons.luc.edu/csrs/ay2021-2022/techreport/1

UR - https://docs.google.com/document/d/16Rld_S8ud_upjVzr99Os8XjRAnadYQysvDDrWUOsHYk

M3 - Article

JO - Computer Science Research Seminars and Symposia

JF - Computer Science Research Seminars and Symposia

ER -