Obstacle data model construction system with range sensor shadows and use in motion planning

1. A method of operating an obstacle data model construction system, comprising:

with a vehicle moving through a vehicle obstacle space from a first to a second position, scanning the vehicle obstacle space at the first and second positions;

generating first and second boundary data sets from results of the scanning at the first and second positions, respectively;

deriving first and second shrouded regions from the first and second boundary data sets, respectively;

identifying a high confidence occupancy region from intersecting portions of the first and second shrouded regions; and

limiting additional scanning in the high confidence occupancy region.

2. The method according to claim 1 , wherein the scanning comprises conical scanning ahead of the vehicle, a cone-shape of the conical scanning being defined by a field of view of a light detection and ranging (LIDAR) sensor.

3. The method according to claim 1 , wherein the scanning is executed at the first and second positions and at additional positions, wherein the deriving and identifying employ the results of the scanning at the first and second positions and results of the scanning at the additional positions.

4. The method according to claim 1 , wherein the deriving comprises assuming that an obstacle exists behind boundaries, which are respectively represented by the first and second boundary data sets, relative to a location of the vehicle at the first and second positions.

5. The method according to claim 1 , wherein the first and second shrouded regions are movable within the vehicle obstacle space and the deriving comprises introducing a decay factor modifying the first and second boundary data sets.

6. The method according to claim 1 , further comprising adjusting a mission plan to avoid the high confidence occupancy region.

7. The method according to claim 6 , wherein the adjusting comprises constructing a roadmap for the vehicle.

8. A method of operating an obstacle data model construction system of an aircraft, comprising:

with a vehicle moving through a vehicle obstacle space, scanning the vehicle obstacle space at multiple positions;

generating boundary data sets from results of the scanning at each of the multiple positions, respectively;

deriving shrouded regions from the boundary data sets, respectively;

identifying an occupancy region from a union of the shrouded regions; and

limiting additional scanning in the occupancy region.

9. The method according to claim 8 , wherein the scanning comprises conical scanning ahead of the vehicle, a cone-shape of the conical scanning being defined by a field of view of a light detection and ranging (LIDAR) sensor.

10. The method according to claim 8 , wherein the deriving comprises assuming that an obstacle exists behind boundaries, which are respectively represented by the boundary data sets, relative to a location of the vehicle at the multiple positions.

11. The method according to claim 8 , wherein the shrouded regions are movable within the vehicle obstacle space in accordance with movement of an associated obstacle and the deriving comprises introducing a decay factor modifying the boundary data sets.

12. The method according to claim 8 , further comprising adjusting a mission plan to avoid the occupancy region.

13. The method according to claim 8 , wherein the adjusting comprises constructing a roadmap for the vehicle.