Name
Abstract | ||
|---|---|---|
We have developed a neural field based architecture to generate complete behavioral sequences for autonomous driving. On the
basis of a user defined desired speed, the system can autonomously decide between the different behavioral alternatives lane
following, lane change, acceleration and deceleration. Depending on the current traffic situation, the system can autonomously
organize reactive behavioral sequences such as overtaking. Basically, the system consists of coupled one-dimensional neural
fields: two fields for a desired longitudinal position and one field for the lateral position. All field dynamics are driven
in a parameter regime which guarantees the existence of a monomodal self stabilizing peak. Both, the longitudinal and the
lateral control consist of two dynamics: one dynamics represents a planning component (“motivation”) and one determining the
action component. The action level generates the desired position of movement which determines the corresponding controlled
variables: steering angle and velocity.
|
Year | DOI | Venue |
|---|---|---|
2001 | 10.1007/978-3-642-56787-2_10 | AMS |
Keywords | Field | DocType |
neural fields,complex driving behavior | Steering angle,Control theory,Computer science,Neural fields,Overtaking,Acceleration | Conference |
ISBN | Citations | PageRank |
3-540-42552-7 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Iris Leefken | 1 | 5 | 2.75 |
| Axel Steinhage | 2 | 47 | 6.59 |
| W von Seelen | 3 | 503 | 140.13 |