Military helicopter Nap-of-the-Earth (NOE) flight is one of the most d
emanding low-altitude, near terrain night operations, In NOE, the pilo
t is operating at or below tree-top levels, taking maximum advantage o
f the terrain and ground features for concealment. Such increased prox
imity to obstructions places heightened maneuverability requirements o
n the aircraft and extreme levels of workload on the pilot. The basic
issue being addressed in the NASA Automated Nap-of-the-Earth (ANOE) pr
ogram is the intelligent use of environmental information such as know
ledge of terrain, obstacles, and other external factors to enhance the
flight path guidance of the vehicle, This is a major departure over c
ontemporary guidance and control based on feedback of state variables
such as vehicle attitudes, velocities, and accelerations, Although the
immediate program has a military focus, the technological advances in
herent for automating NOE flight have great benefit to the operation o
f a wide class of vehicles such as emergency medical helicopters, conv
entional and high-speed transports, unmanned aerial vehicles, and plan
etary vehicles, This paper summarizes results to date of the NASA ANOE
program in the areas of passive and active sensors, pilot displays, l
ow-altitude manual trajectory guidance, and NOE automatic guidance, Ea
ch of these areas has been developed and evaluated in piloted, motion-
based simulation or through flight test, These evaluations have demons
trated the feasibility of automating the NOE flight mission, and have
generated additional spin-off applications of the technologies.