CONTROL OF A VEHICLE VIA REFERENCE SENSOR DATA

Abstract

A control method for a vehicle (101) in which the vehicle (101) is controlled manually while sensor data, from at least one sensor of the vehicle (101), is collected and stored. Then the vehicle (101) is controlled autonomously while sensor data, from the at least one sensor is detected and matched to the stored sensor data.

Claims

1-9. (canceled)

10. A control method for a vehicle (101), the method comprising: manually controlling the vehicle (101) while storing sensor data from at least one sensor of the vehicle (101), and autonomously controlling the vehicle (101) while sensor data from the at least one sensor is detected and com pared with the stored sensor data.

11. The control method according to claim 10 further comprising, autonomously controlling the vehicle (101) in such a manner that the sensor data detected is matched to the stored sensor data.

12. The control method according to claim 10 further comprising, detecting and storing at least one movement variable of the vehicle or part of the vehicle (101) as the sensor data.

13. The control method according to claim 10 further comprising, reconstructing a movement sequence of the vehicle (101), from the stored sensor data, such that the vehicle (101) autonomously follows the movement sequence.

14. The control method according to claim 13, wherein the vehicle (101) follows a reconstructed movement sequence beginning from a starting point (105).

15. The control method according to claim 10 further comprising, reconstructing a movement sequence of the vehicle (101) from the stored sensor data; and the vehicle (101) follows the movement sequence in a reverse direction of travel.

16. The control method according to claim 15, wherein, the vehicle (101) follows the movement sequence beginning from an end position (107) of the reconstructed movement sequence.

17. A computer program for carrying out the method according to claim 10.

18. A data processing device designed to carry out the method according to claim 10.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0036] A preferred example embodiment of the invention is illustrated in the figures, in which matching indexes denote the same or functionally equivalent features. In detail, the figures show:

[0037] FIG. 1: A forklift truck driving forwards; and

[0038] FIG. 2: A forklift truck driving in reverse.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0039] A forklift truck 101 illustrated in FIG. 1 is driving along a trajectory 103. The trajectory 103 leads from a starting point 105 to an end point 107. Thus, the forklift truck 101 begins at the starting point 105 and follows along the trajectory 103 to the end point 107.

[0040] The trajectory 103 is chosen such that the forklift truck 101 passes between obstacles 109. During this it drives forward in a first travel direction 111.

[0041] While the forklift truck 101 is moving along the trajectory 103, the data from its sensors is collected and stored. When the forklift truck 101 has reached the end point 107, it reverses.

[0042] After its reversal, as shown in FIG. 2 the forklift truck 101 moves backward in a second travel direction 113 along the same trajectory 103. During this, for orientation purposes the forklift truck makes use of the sensor data collected during the forward journey. It compares these senor data with corresponding sensor data which it detects during the reverse journey. The forklift truck 101 determines its trajectory 103 during the reverse journey in such manner that the sensor data is a quantitative match.

INDEXES

[0043] 101 Forklift truck [0044] 103 Trajectory [0045] 105 Starting point [0046] 107 End point [0047] 109 Obstacle [0048] 111 First travel direction [0049] 113 Second travel direction