{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:27:33Z","timestamp":1750220853747,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":10,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,10,4]],"date-time":"2019-10-04T00:00:00Z","timestamp":1570147200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"European Union?s Horizon 2020 Programme","award":["No. 731993"],"award-info":[{"award-number":["No. 731993"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,10,4]]},"DOI":"10.1145\/3349622.3355446","type":"proceedings-article","created":{"date-parts":[[2019,10,10]],"date-time":"2019-10-10T18:52:21Z","timestamp":1570733541000},"page":"27-32","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Learn from IoT"],"prefix":"10.1145","author":[{"given":"G\u00fcrkan","family":"Solmaz","sequence":"first","affiliation":[{"name":"NEC Laboratories Europe, Heidelberg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Everton Lu\u00eds","family":"Berz","sequence":"additional","affiliation":[{"name":"NEC Laboratories Europe, Heidelberg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marzieh Farahani","family":"Dolatabadi","sequence":"additional","affiliation":[{"name":"Eindhoven University of Technology, Eindhoven, Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samet","family":"Ayta\u00e7","sequence":"additional","affiliation":[{"name":"Bogazi\u00e7i University, Istanbul, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jonathan","family":"F\u00fcrst","sequence":"additional","affiliation":[{"name":"NEC Laboratories Europe, Heidelberg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Cheng","sequence":"additional","affiliation":[{"name":"NEC Laboratories Europe, Heidelberg, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jos den","family":"Ouden","sequence":"additional","affiliation":[{"name":"Eindhoven University of Technology, Eindhoven, Netherlands"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,10,4]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2017.2743709"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.robot.2012.11.005"},{"key":"e_1_3_2_1_3_1","volume-title":"mbox","author":"Michael Goldhammer","year":"2018","unstructured":"Michael Goldhammer et al mbox . 2018 . Intentions of vulnerable road users-detection and forecasting by means of machine learning. arXiv preprint arXiv:1803.03577 (2018). Michael Goldhammer et almbox. 2018. Intentions of vulnerable road users-detection and forecasting by means of machine learning. arXiv preprint arXiv:1803.03577 (2018)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2517351.2517367"},{"key":"e_1_3_2_1_5_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint:1412.6980 (2014)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.3233\/FI-2016-1306"},{"key":"e_1_3_2_1_7_1","volume-title":"Vulnerable road user detection: state-of-the-art and open challenges. arXiv preprint:1902.03601","author":"Mannion Patrick","year":"2019","unstructured":"Patrick Mannion . 2019. Vulnerable road user detection: state-of-the-art and open challenges. arXiv preprint:1902.03601 ( 2019 ), 1--5. Patrick Mannion. 2019. Vulnerable road user detection: state-of-the-art and open challenges. arXiv preprint:1902.03601 (2019), 1--5."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI.2017.8285398"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bjp.2013.12.020"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2016.7795975"}],"event":{"name":"MobiCom '19: The 25th Annual International Conference on Mobile Computing and Networking","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing"],"location":"Los Cabos Mexico","acronym":"MobiCom '19"},"container-title":["Proceedings of the 1st ACM Workshop on Emerging Smart Technologies and Infrastructures for Smart Mobility and Sustainability"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3349622.3355446","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3349622.3355446","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:23:19Z","timestamp":1750202599000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3349622.3355446"}},"subtitle":["Pedestrian Detection and Intention Prediction for Autonomous Driving"],"short-title":[],"issued":{"date-parts":[[2019,10,4]]},"references-count":10,"alternative-id":["10.1145\/3349622.3355446","10.1145\/3349622"],"URL":"https:\/\/doi.org\/10.1145\/3349622.3355446","relation":{},"subject":[],"published":{"date-parts":[[2019,10,4]]},"assertion":[{"value":"2019-10-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}