Abstract: The disclosed techniques include: obtaining traveling state information of the autonomous vehicle; obtaining, in response to confirming that there is a traffic object within a preset range for the autonomous vehicle, true motion state information of the traffic object; determining a first control decision for indicating whether the autonomous vehicle is to avoid the traffic object based on the traveling state information of the autonomous vehicle and the true motion state information of the traffic object; predicting first predictive motion state information of the traffic object within a first preset duration based on the true motion state information of the traffic object and the first control decision; and determining a second control decision for the autonomous vehicle based on the traveling state information of the autonomous vehicle and the first predictive motion state information of the traffic object.

Abstract: A set of multidimensional data is obtained. At least a portion of the set of multidimensional data is processed to generate a set of formatted data, wherein the set of formatted data comprises at least one of attributes, attribute values and statistics on attribute values. A user is enabled to select, on a graphical user interface, an analysis task to be performed on at least a portion of the set of formatted data. One or more visualizations are generated from a set of visualization types for presentation on a graphical user interface to the user. The set of visualization types comprises a first visualization type representing a relationship between two attributes whereby attribute value pairs are represented by varying colors, a second visualization type representing thematic variations over time with respect to values of at least one attribute; and a third visualization type representing values of three attributes comprising one or more histograms.