Path Planning and Hazard Detection for Assault Zone Terminal Evaluation
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AbstractABSTRACT: This research focuses on providing a capability to perform rapid, semi-autonomous unmanned assessment of potential combat airstrips. Current Tactics Techniques and Procedures require the operator to walk the runway and manually assess viability. Soil hardness measurements are sampled manually along with marking of hazards to flight, which may occur along the runway as well as along approach and takeoff vectors. To gain data of high quality and maximize mission success, operations are conducted at night in the shortest possible timeframe required. The objective is to automate and shorten time required to produce the airfield survey data product by providing an autonomous system capable of surveying a 3,500-foot expedient runway in less than 90 minutes, in day and night conditions, reducing risk to operators on assault zone survey missions and increasing survey product quality. BENEFIT: Unmanned Ground Vehicles have shown promise enhancing a number of military missions; however most successful autonomous systems perform in highly structured environments. To enable operations in militarily relevant, unstructured environments at an operational tempo, a number of obstacle avoidance and planning challenges must be overcome. A viable autonomous system should require minimal supervisory control and operate across a variety of environments from off-road cross-country terrain to dynamic urban environments. The enhanced behaviors and perception capabilities integrated under this effort to support the expedient airfield survey mission will further the goal of enabling operations in military relevant dynamic environments. Commercial applications of this technology include the dull, dirty or dangerous tasks in the agriculture, mining or security markets. The high reliability and system ruggedness needed for the airfield survey system will be a major step towards the requirements for the commercial market.
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