{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:19:56Z","timestamp":1740100796204,"version":"3.37.3"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,6,5]],"date-time":"2022-06-05T00:00:00Z","timestamp":1654387200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,6,5]],"date-time":"2022-06-05T00:00:00Z","timestamp":1654387200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100002465","name":"Delta","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100002465","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6,5]]},"DOI":"10.1109\/iv51971.2022.9827207","type":"proceedings-article","created":{"date-parts":[[2022,7,19]],"date-time":"2022-07-19T19:33:28Z","timestamp":1658259208000},"page":"1810-1816","source":"Crossref","is-referenced-by-count":2,"title":["MEAT: Maneuver Extraction from Agent Trajectories"],"prefix":"10.1109","author":[{"given":"Julian","family":"Schmidt","sequence":"first","affiliation":[{"name":"Mercedes-Benz AG, R&#x0026;D,Stuttgart,Germany"}]},{"given":"Julian","family":"Jordan","sequence":"additional","affiliation":[{"name":"Mercedes-Benz AG, R&#x0026;D,Stuttgart,Germany"}]},{"given":"David","family":"Raba","sequence":"additional","affiliation":[{"name":"Mercedes-Benz AG, R&#x0026;D,Stuttgart,Germany"}]},{"given":"Tobias","family":"Welz","sequence":"additional","affiliation":[{"name":"Mercedes-Benz AG, R&#x0026;D,Stuttgart,Germany"}]},{"given":"Klaus","family":"Dietmayer","sequence":"additional","affiliation":[{"name":"Ulm University, Institute of Measurement, Control and Microtechnology,Ulm,Germany"}]}],"member":"263","reference":[{"key":"ref10","first-page":"947","article-title":"Intentnet: Learning to predict intention from raw sensor data","volume":"87","author":"casas","year":"2018","journal-title":"Proceedings of The 2nd Conference on Robot Learning ser Proceedings of Machine Learning Research"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA40945.2020.9197057"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00803"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9341018"},{"article-title":"An automated analysis framework for trajectory datasets","year":"2022","author":"glasmacher","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2013.6728549"},{"key":"ref16","first-page":"541","article-title":"Learning lane graph representations for motion forecasting","author":"liang","year":"2020","journal-title":"Computer Vision - ECCV 2020"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01502"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01154"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9811637"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01164"},{"key":"ref3","article-title":"One thousand and one hours: Selfdriving motion prediction dataset","volume":"abs 2006 14480","author":"houston","year":"2020","journal-title":"CoRR"},{"article-title":"Interaction dataset: An international, adversarial and cooperative motion dataset in interactive driving scenarios with semantic maps","year":"2019","author":"zhan","key":"ref6"},{"key":"ref5","article-title":"Argoverse 2: Next generation datasets for self-driving perception and forecasting","author":"wilson","year":"2021","journal-title":"Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks (NeurIPS Datasets and Benchmarks 2021)"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00563"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569552"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00252"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00895"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IROS51168.2021.9636875"}],"event":{"name":"2022 IEEE Intelligent Vehicles Symposium (IV)","start":{"date-parts":[[2022,6,4]]},"location":"Aachen, Germany","end":{"date-parts":[[2022,6,9]]}},"container-title":["2022 IEEE Intelligent Vehicles Symposium (IV)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9826996\/9826997\/09827207.pdf?arnumber=9827207","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,8]],"date-time":"2022-08-08T20:04:21Z","timestamp":1659989061000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9827207\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,5]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/iv51971.2022.9827207","relation":{},"subject":[],"published":{"date-parts":[[2022,6,5]]}}}