{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:07:07Z","timestamp":1740100027871,"version":"3.37.3"},"reference-count":13,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,1,10]],"date-time":"2021-01-10T00:00:00Z","timestamp":1610236800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100007225","name":"Ministry of Science and Technology","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100007225","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,1,10]]},"DOI":"10.1109\/icce50685.2021.9427728","type":"proceedings-article","created":{"date-parts":[[2021,5,13]],"date-time":"2021-05-13T19:57:02Z","timestamp":1620935822000},"page":"1-4","source":"Crossref","is-referenced-by-count":4,"title":["Sensor Data Fusion of Intelligent Autonomous Mover for Object Detection and Collision Avoidance in Environments with Surrounding Crowds"],"prefix":"10.1109","author":[{"given":"Kuan-Hung","family":"Chen","sequence":"first","affiliation":[]},{"given":"Yin-Tsung","family":"Hwang","sequence":"additional","affiliation":[]},{"given":"Chih-Peng","family":"Fan","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"year":"0","key":"ref10","article-title":"Open-source Control module for ROS (OpenCR)"},{"year":"0","key":"ref11","article-title":"The LDS-01LiDAR"},{"year":"0","key":"ref12","article-title":"Turtlebot"},{"year":"0","key":"ref13","article-title":"YOLO: Real-Time Object Detection"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAIS.2012.6466599"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/LARS-SBR-WRE48964.2019.00032"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2885648"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICSENS.2017.8234267"},{"year":"0","key":"ref8","article-title":"Nvidia embedded computing platforms"},{"key":"ref7","article-title":"Design and Embedded Implementation of Deep-Learning Based Object Detection With Pedestrian Face Direction Understanding for Hypermarket Environment","author":"chen","year":"2020","journal-title":"IEEE Sponsored Indo-Taiwan Conference on Computing Analytics and Networks (ICAN2020)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICRoM48714.2019.9071858"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICACC48162.2019.8986199"},{"year":"0","key":"ref9","article-title":"Robot Operating System (ROS)"}],"event":{"name":"2021 IEEE International Conference on Consumer Electronics (ICCE)","start":{"date-parts":[[2021,1,10]]},"location":"Las Vegas, NV, USA","end":{"date-parts":[[2021,1,12]]}},"container-title":["2021 IEEE International Conference on Consumer Electronics (ICCE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9427462\/9427578\/09427728.pdf?arnumber=9427728","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:41:26Z","timestamp":1652197286000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9427728\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,10]]},"references-count":13,"URL":"https:\/\/doi.org\/10.1109\/icce50685.2021.9427728","relation":{},"subject":[],"published":{"date-parts":[[2021,1,10]]}}}