Ground Risk Assessment Service Provider (GRASP) Development Effort as a Supplemental Data Service Provider (SDSP) for Urban Unmanned Aircraft System (UAS) Operations

Modeling quarantine during epidemics and mass-testing using drones

“…Indeed, one stumbling block to drones ubiquity is the generally absent regulation (in particular, in regions with less strict or absent (anti-)drone laws, UAVs are already widely used for medical applications including infectious disease surveillance and epidemiology [45][46][47][48]). With a proactive thinking, the authorities could design sets of regulations with different levels of strictness: in situations like epidemics, more lenient regulations could take force and let the drone operations rise to higher levels than during nominal course of events-the switch may be justified not only by the extreme social value of the drones use (as shown here), but also by the fact that during the (even partial) quarantine there are fewer people on the streets, which lowers the ground risk of drone operations (one of the concerns for the regulators [49][50][51][52][53][54]).…”

Modeling quarantine during epidemics and mass-testing using drones

“…Indeed, one stumbling block to drones ubiquity is the generally absent regulation (in particular, in regions with less strict or absent (anti-)drone laws, UAVs are already widely used for medical applications including infectious disease surveillance and epidemiology [BMAN+14, CMRS+19, HMCMM17, GPHS+18]). With a proactive thinking, the authorities could design sets of regulations with different levels of strictness: in situations like epidemics, more lenient regulations could take force and let the drone operations rise to higher levels than during nominal course of events -- the switch may be justified not only by the extreme social value of the drones use (as shown here), but also by the fact that during the (even partial) quarantine there are fewer people on the streets, which lowers the ground risk of drone operations (one of the concerns for the regulators [AHH19, BNEK+17, BNAB+17, DPJ18, PRC20, WCS17]).…”

A Critical Review of Information Provision for U-Space Traffic Autonomous Guidance

“…To decrease the risk of collision with pedestrians during an emergency landing or loss of control, it is essential to have a population density map [16,85]. For example, E. Arcel et al describe a casualty estimation model that relies on population density data to estimate the nonparticipant casualty risk [86]. The Population Density Information service was proposed for the second phase of U-space deployment for this purpose [17].…”