Abstract: A method for labeling vehicular sensor data includes accessing sensor data captured by a plurality of sensors disposed at a vehicle. The method also includes accessing global positioning system (GPS) sensor data of the vehicle. For each time step of a plurality of time steps associated with the sensor data, vehicle position information is extracted from the GPS sensor data that represents a respective geographic location of the vehicle at the respective time step. For each time step of the plurality of time steps of the recording of sensor data, respective location-based information associated with the respective geographic location of the vehicle at the respective time step is obtained from a database. For each time step of the plurality of time steps of the recording of sensor data, the recording of sensor data at the respective time step is labeled using the respective obtained location-based information.

Abstract: A method for labeling events of interest in vehicular sensor data includes accessing sensor data captured by a plurality of sensors disposed at a vehicle, and providing a trigger condition including a plurality of threshold values. The trigger condition is satisfied when values representative of the sensor data satisfy each threshold value. An event of interest is identified when the trigger condition is satisfied at a point in time of the recording of sensor data. A visual indication of the event of interest is displayed on a graphical user interface. Visual elements derived from a portion of the sensor data representative of the event of interest are displayed on the graphical user interface. A label for the event of interest is received from a user. The label and the sensor data representative of the point in time are stored at a database time.

Abstract: A method for testing a vehicular driver assistance system includes recording sensor data from a sensor of a vehicle equipped with the vehicular driver assistance system and annotating the recorded sensor data. The annotations represent a predicted output of a processor when processing the recorded sensor data for the vehicular driver assistance system. The recorded sensor data and the annotated sensor data are stored at data storage. Analysis data is generated based on statistical analysis of the recorded sensor data and the statistical analysis of the annotated sensor data. The analysis data is stored at a results database. A key performance indicator (KPI) report is generated using the analysis data. The KPI report includes a dynamic graphic representation based on the analysis data.