Page 57 - Dynamic Vision for Perception and Control of Motion
P. 57

2.1 Three-dimensional (3-D) Space and Time      41



            inversion. Since each row of the Jacobian matrix contains the first-order sensitivity
            elements of the relation, how the feature measured depends on each state variable,
            spatial interpretation may become (at least partially) possible even with monocular
            vision, if either the object or the observer is moving. This will be discussed further
            down. Temporal embedding thus alleviates image interpretation despite the higher
            data rates. Temporal continuity conditions and attention control can  counteract
            these higher data rates.
              In addition, the eigenvalues of the transition matrix A represent characteristic
            time scales of the process. These and the frequency content of control inputs and of
            perturbations determine the temporal characteristics of the motion process.
              In the framework of mission performance, other timescales  may have special
            importance. The time needed for stabilizing image sequence interpretation is cru-
            cial for arriving at meaningful decisions based on this perception process. About a
            half second to one second are typical values for generating object hypotheses and
            having the transients settle down from poor initialization. Taking limited rates of
            change of state variables into account, preview (and thus prediction) times of sev-
            eral seconds seem to be reasonable in many cases. Total missions may last for sev-
            eral hours.
              With respect  to flawless functioning  and maintenance of  the  vehicle’s  body,
            special timescales have to be observed, which an autonomous system should be
            aware of. All these aspects will be briefly discussed in the next section together
            with similar multiple scale problems in the spatial domain. To  be flexible, an
            autonomous  visual perception system should be capable of easy adjustment to
            temporal and spatial scales according to the task at hand.


            2.1.4 Multiple Scales

            The range of scales in the temporal and spatial domains needed to understand pro-
            cesses in the real world is very large. They are defined by typical sensor and mis-
            sion dimensions as well as by the environmental conditions affecting both the sen-
            sors and the mission to be performed.

            2.1.4.1 Multiple Space Scales

            In the spatial domain, the size of the light sensitive elements in the sensor array
            may be considered the lower limit of immediate interest here. Typically, 5 to 20
            micrometer (Pm) is common today. Alternatively, as an underlying characteristic
            dimension, the typical width of the electronic circuitry  may be chosen.  This is
            about 0.1 to 2 Pm, and this dimension characterizes the state of the art of micro-
            processors. Taking the 1-meter (m) scale as the standard, since this is the order of
            magnitude of typical body dimension of interest, the lower bound for spatial scales
                    í7
            then is 10 m.
              As the upper limit, the distance of the main light source on Earth, the orbital ra-
                                                                          11
            dius of the planet Earth circling the Sun (about 150 million km, that is 1.5 ·10  m),
            may be chosen with all other stars at infinity. The scale range of practical interest
   52   53   54   55   56   57   58   59   60   61   62