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Collision Avoidance for Unmanned Aircraft: Proving the Safety Case.
| 题名： | Collision Avoidance for Unmanned Aircraft: Proving the Safety Case. |
| 作者： | zeitlin, a. lacher, a. kuchar, j. drumm, a. |
| 关键词： | safety analysis, sensors, algorithms, fault tree analysis, dynamic simulation, transportation safety |
| 摘要： | Applications for Unmanned Aircraft Systems (UAS) abound from military and homeland security to commercial services. The ability to integrate unmanned and manned aircraft into the same civil airspace is a critical capability that will enable growth in the industry, expansion of applications, and greater utility for UAS operators. Collision avoidance is emerging as a key enabler to UAS civil airspace access as well as an important capability for the integration of manned and unmanned missions in military theaters of operation. UAS collision avoidance capabilities must be interoperable and compatible with existing collision and separation assurance capabilities including the Traffic Alert and Collisions Avoidance System (TCAS) and the requirement for a pilot to see and avoid other aircraft consistent with the right of way rules. The operational and technical challenges of UAS collision avoidance are further complicated by the wide variety of unmanned aircraft, their associated missions, and their ground control capabilities. While the technology research activities are important to the development of these standards, analysis will be required to ensure that the technical solutions provide a satisfactory level of safety. The intent of this paper is to present one perspective on the system safety studies necessary for the community to reach consensus on the appropriate standards-a necessary step so that a collision avoidance capability of unmanned aircraft can be certified by the FAA. |
| 总页数： | u0708；18p |
| 报告类型： | 科技报告 |
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