Transcription of Simultaneous Localization and Mapping - Sebastian Thrun
{{id}} {{{paragraph}}}
Online Simultaneous Localization And Mapping with Detection And Tracking of Moving Objects: Theory and Results from a Ground Vehicle in Crowded Urban Areas Chieh-Chih Wang, Charles Thorpe and Sebastian Thrun Robotics Institute, Carnegie Mellon University Pittsburgh, PA, 15213, USA Email: [bobwang, cet, Abstract The Simultaneous Localization and Mapping (SLAM) with detection and tracking of moving objects (DATMO) problem is not only to solve the SLAM problem in dynamic environments but also to detect and track these dynamic objects.]
The simultaneous localization and mapping (SLAM) problem has attracted immense attention in the mobile robotics literature [17], and SLAM techniques are at the core of many successful robot systems. Most researchers on SLAM assume that the unknown environment is static,
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document:
{{id}} {{{paragraph}}}
37. Simultaneous Localization and, Simultaneous, Simultaneous localization and, Tutorial, Course WS 2010 Simultaneous Localization and, Course WS 2010 Simultaneous Localization and Mapping, Simultaneous Localization, TUTORIAL Simultaneous Localization and Mapping SLAM, S imultaneous localization, Simultaneous Localization And Mapping, Localization, Graph-Based Simultaneous Localization And, Simultaneous Localization and Mapping (SLAM) Capability