Abstract: A sensor system for a vehicle includes a first sensor setup having a first short-range sensor and a first long-range auxiliary sensor configured to provide an anchor point measurement. The system also includes a second sensor setup having a second short-range sensor, a second long-range auxiliary sensor configured to provide an anchor point measurement, and a long-range ground truth sensor. The sensors of first and second sensor setups each have a sensor range and provide sensor data for reflection detection. The system also includes a neural network. The neural network is configured to infer distances between an anchor point and other reflections out of the detection range of the short-range sensors by using a provided ground truth of the neural network.

Abstract: A method for training an artificial intelligence module for an advanced driver assistance system for obtaining a depth model of a scene uses data of a camera image and a depth image of a LIDAR sensor as input, and is trained for outputting the depth model of the scene. The depth model has a higher resolution than the depth image of the LIDAR sensor. The method of training the artificial intelligence module includes acquiring depth measurement data of the scene, which are obtained by combining images of a plurality of other LIDAR sensors, and which are used as a ground truth for the depth model of the scene.