Drones on the Ground to Help With Intelligence Gathering

YERUSHALAYIM -
 A ‘Searcher II’ (Kochav Lavan) UAV returns from a reconnaissance mission. The drones are now not only in the air but on the ground, too. (Flash90)

A ‘Searcher II’ (Kochav Lavan) UAV returns from a reconnaissance mission. The drones are now not only in the air but on the ground, too. (Flash90)

Drone technology has become associated in recent years with air surveillance and pinpoint counter-terrorism operations. Now Israeli researchers have developed unmanned vehicles to gather intelligence for troops on the ground.

“Lessons learned worldwide from the war on terror led to the development of new operation methods that are heavily aided by remote-controlled machines,” writes Dr. Tal Oron-Gilad of Ben Gurion University’s Human Factors Program.

The use of Unmanned Aerial Vehicles (UAVs) for intelligence gathering has become ubiquitous in the U.S. and Israeli military. The video feed is routed to soldiers who do Military Operation Urban Terrain (MOUT) intelligence gathering using the “bird’s eye view” to orient themselves in the urban landscape.

However, another question has emerged with the advent of Unmanned Ground Vehicle (UGV) video feeds. What happens if a soldier receives both feeds as well as a GPS map? Similarly, given the UGV’s lower survivability, does it provide additional useful information?

The BGU team tested the single UAV feed versus the combined video feed configration, using an advanced simulation. They observed 30 BGU engineering students who had previously served in IDF combat infantry units. All had received infantry training,  but none had received training on operating a UV.

The simulation featured two scenarios — one in which the UAV was flying a set reconnaissance pattern without zooming in on any particular targets. In that scenario, it was assumed the UGV would do the zooming in. The second scenario was a densely-populated area where the UAV experienced several incidents of concealment. The two hypothesized that the UGV would fill in the gaps in coverage.

The team conducted an attention allocation analysis, identification accuracy and false alarm analysis and a subjective workload analysis, and a subjective task-related questionnaire to arrive at their conclusions.

False alarm reports dropped and the research subjects felt their performance had improved using the dual feeds. On the deficit side, the UGV feed was less useful in dense urban areas as opposed to more open areas, probably because of the limited field of view it provided in back alleys.