Measurement models for extended objects The SDK now contains measurement models with basic functionality for tracking extended objects. This enables the consideration of information from objects when fusing camera sensors, which in turn already provide size estimation. Thus, the size information is available both during the fusion of sensor data and at the sensor fusion output.
BASELABS sensor fusion expert Eric Richter explains how a multiple model approach can better predict different object classes and thus dramatically improve sensor fusion performance.
Tutorial for multiple hypotheses initialization: how to create multiple track hypotheses from a single sensor measurement, e.g., one track hypothesis that accounts for longitudinal traffic and one for cross traffic. It explains how ambiguities are resolved over time, and a single track is provided as the result of the data fusion.
Sensor Fusion Diagnostics - The diagnostics tool becomes available from the SDK. BASELABS Create Embedded 9 comes with a built-in diagnostics tool to find issues related to the parameterization of sensor models or the models themselves. It helps to identify, for instance, too small or large values for measurement or process noise parameters.