A 3D Dynamic Scene Analysis Framework for Development of Intelligent Transportation Systems

Chien Yi Wang, Athma Narayanan, Abhishek Patil, Wei Zhan, Yi Ting Chen

研究成果: Conference contribution同行評審

2 引文 斯高帕斯(Scopus)

摘要

Holistic driving scene understanding is a critical step toward intelligent transportation systems. It involves different levels of analysis, interpretation, reasoning and decision making. In this paper, we propose a 3D dynamic scene analysis framework as the first step toward driving scene understanding. Specifically, given a sequence of synchronized 2D and 3D sensory data, the framework systematically integrates different perception modules to obtain 3D position, orientation, velocity and category of traffic participants and the ego car in a reconstructed 3D semantically labeled traffic scene. We implement this framework and demonstrate the effectiveness in challenging urban driving scenarios. The proposed framework builds a foundation for higher level driving scene understanding problems such as intention and motion prediction of surrounding entities, ego motion planning, and decision making.

原文English
主出版物標題2018 IEEE Intelligent Vehicles Symposium, IV 2018
發行者Institute of Electrical and Electronics Engineers Inc.
頁面1800-1806
頁數7
ISBN(電子)9781538644522
DOIs
出版狀態Published - 18 十月 2018
事件2018 IEEE Intelligent Vehicles Symposium, IV 2018 - Changshu, Suzhou, China
持續時間: 26 九月 201830 九月 2018

出版系列

名字IEEE Intelligent Vehicles Symposium, Proceedings
2018-June

Conference

Conference2018 IEEE Intelligent Vehicles Symposium, IV 2018
國家China
城市Changshu, Suzhou
期間26/09/1830/09/18

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