Abstract: A method for continuously generating a (grayscale) map of a scene in electronic form, characterized by high time resolution and minimal data volume, is presented. The method involves repeated measurement of the instantaneous exposure of the image elements in an image sensor, the start of every exposure measurement being determined autonomously and asynchronously by every image element independently, and hence the redundancy which is typical of synchronous image sensors in the image data to be transmitted being largely suppressed. The stimulation for the purpose of exposure measurement is provided by the autonomous detection of a relative light intensity change in the scene detail which the image element views, by the transient detector in the respective image element. To increase the signal-to-noise ratio and the dynamic range, the exposure measurement is preferably performed on the basis of time, that is to say the exposure of an image element is represented by the period between two asynchronous events.

Abstract: A method for continuously generating a (grayscale) map of a scene in electronic form, characterized by high time resolution and minimal data volume, is presented. The method involves repeated measurement of the instantaneous exposure of the image elements in an image sensor, the start of every exposure measurement being determined autonomously and asynchronously by every image element independently, and hence the redundancy which is typical of synchronous image sensors in the image data to be transmitted being largely suppressed. The stimulation for the purpose of exposure measurement is provided by the autonomous detection of a relative light intensity change in the scene detail which the image element views, by the transient detector in the respective image element. To increase the signal-to-noise ratio and the dynamic range, the exposure measurement is preferably performed on the basis of time, that is to say the exposure of an image element is represented by the period between two asynchronous events.

Abstract: A method is used for analyzing scenes. The scene or objects in the scene and an optical sensor perform a relative movement and the scene information obtained is evaluated. Visual information of the scene is detected by the individual pixels of the optical sensor and pixel co-ordinates of established variations in intensity are determined. A temporization of the established variations in intensity is determined and a local accumulation of the variations in intensity is determined by statistical methods. The local accumulations are evaluated in terms of the number and/or position thereof by statistical methods and data area clearing methods. The determined values are used as parameters of a detected scene region. A parameter is compared with a pre-determined parameter considered characteristic of an object, and when the pre-determined comparison criteria are fulfilled, the evaluated local amassment associated with the respective scene region is seen as an image of the object.