{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/end-to-end-learning-of-multi-sensor-3d","title":"End-to-end Learning of Multi-sensor 3D Tracking by Detection","arxiv_id":"1806.11534","date":"2018-06-29","proceeding":null,"authors":["Davi Frossard","Raquel Urtasun"],"abstract":"In this paper we propose a novel approach to tracking by detection that can\nexploit both cameras as well as LIDAR data to produce very accurate 3D\ntrajectories. Towards this goal, we formulate the problem as a linear program\nthat can be solved exactly, and learn convolutional networks for detection as\nwell as matching in an end-to-end manner. We evaluate our model in the\nchallenging KITTI dataset and show very competitive results.","url_abs":"http://arxiv.org/abs/1806.11534v1","url_pdf":"http://arxiv.org/pdf/1806.11534v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[],"tasks":[{"task_slug":"multiple-object-tracking","task_name":"Multiple Object Tracking"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[{"leaderboard":"/sota/multiple-object-tracking-on-kitti-test-online","task":"Multiple Object Tracking","dataset":"KITTI Test (Online Methods)","model":"DSM","rank_in_archive_order":30,"of":34,"metrics":{"MOTA":"76.15"},"uses_additional_data":false}],"syntology":{"syntology_url":"https://syntology.ai/paper/1806.11534","atlas_url":"https://app.syntology.ai/?focus=1806.11534","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}