Generating training data for ADAS using neural network

A computer-implemented method comprises: receiving camera images and three dimensional (3D) data captured by a first vehicle during travel; obtaining, by providing the camera images to a two-dimensional (2D) object detection algorithm, 2D bounding boxes corresponding to first objects visible in the camera images; obtaining 3D bounding boxes corresponding to second objects in the 3D data; performing association of the 2D bounding boxes with corresponding ones of the 3D bounding boxes using a first neural network; and generating, using the camera images and the 2D bounding boxes associated with corresponding ones of the 3D bounding boxes, training data for training a second neural network to perform 2D and 3D object detection in an advanced driver assistance system (ADAS) for a second vehicle.