The keystone scavenger team

Jacky Baltes, John Anderson

研究成果: 書貢獻/報告類型會議貢獻

摘要

Stereo vision for small mobile robots is a challenging problem, particularly when employing embedded systems with limited processing power. However, it holds the promise of greatly increasing the localization, mapping, and navigation ability of mobile robots. To help in scene understanding, objects in the field of vision must be extracted and represented in a fashion useful to the system. At the same time, methods must be in place for dealing with the large volume of data that stereo vision produces, in order that a practical frame rate may be obtained. We have been working on stereo vision as the sole form of perception for Urban Search and Rescue (USAR) domains over the last three years. Recently, we have extended our work to include domains with more complex human robot interactions. Our entry in the 2006 AAAI Robotics competition embodies these ideas.

原文英語
主出版物標題Proceedings of the 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06
頁面1958-1959
頁數2
出版狀態已發佈 - 2006 十一月 13
事件21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06 - Boston, MA, 美国
持續時間: 2006 七月 162006 七月 20

出版系列

名字Proceedings of the National Conference on Artificial Intelligence
2

其他

其他21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06
國家美国
城市Boston, MA
期間06/7/1606/7/20

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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  • 引用此

    Baltes, J., & Anderson, J. (2006). The keystone scavenger team. 於 Proceedings of the 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06 (頁 1958-1959). (Proceedings of the National Conference on Artificial Intelligence; 卷 2).