Abstract: A light detection and ranging (LiDAR) system for a vehicle includes a laser diode configured to generate a laser and a divider configured to divide the laser, in a vertical direction with respect to the vehicle, yielding a plurality of sub-beams. The LiDAR system also includes a receiver configured to receive reflections of the plurality of sub-beams and a processor configured to detect an environment of the vehicle based on the reflections of the plurality of sub-beams.

Abstract: A method for detecting and classifying two or more lane boundaries defining lanes on a road an ego-vehicle is driving or positioned on comprises a step of inputting an image of the road; a step of applying a convolutional neural network which has been trained for detecting lanes and classifying each detected lanes into one of at least two lane classes, wherein the lane classes describe whether the lane is a left or right boundary of a lane; and a step of outputting a plurality of discrete points for each lane class.