Abstract: Systems and methods for barrier detection using birds-eye-view maps of lidar data. Some implementations may include receiving lidar data from a lidar sensor; determining, based on the lidar data, a birds-eye-view map of one or more objects that are reflected in the lidar data; and inputting the birds-eye-view map to a machine learning system to obtain a classified map wherein the one or more objects are labeled with respective classifications from a set of classes including a dynamic class and static class.

Abstract: Some embodiments provide a sensor data-processing system which generates a depth data representation of an environment based on sensor data representations which are generated by passive sensor devices. The sensor data-processing system generates the depth data representation via applying an algorithm which includes an model architecture which determines depths of various portions of the represented environment based on detecting features correspond to depth information. The model architecture is established via training an algorithm to generate depth data which corresponds to a sample set of depth data representations of environments, given a corresponding set of image data representations of the environments. As a result, the sensor data-processing system enables depth perception of portions of an environment independently of receiving depth data representations of the environment which are generated by an active sensor device.