Abstract:
Methods and systems for detecting weather conditions including fog using vehicle onboard sensors are provided. An example method includes receiving laser data collected from scans of an environment of a vehicle, and associating, by a computing device, laser data points of with one or more objects in the environment. The method also includes comparing laser data points that are unassociated with the one or more objects in the environment with stored laser data points representative of a pattern due to fog, and based on the comparison, identifying by the computing device an indication that a weather condition of the environment of the vehicle includes fog.
Abstract:
Disclosed herein are systems and methods for classifying regions of a scanning zone of a light detection and ranging (LIDAR) scan. One example includes a method for receiving information indicative of a light detection and ranging (LIDAR) scan of a vehicle. The method further involves generating a point map of the scanning zone. The method further involves generating a density profile of the point map that is indicative of density of one or more regions of the scanning zone characterized at one or more distances. The method further involves generating an elevation profile of the point map that is indicative of elevation of one or more reflected features in the scanning zone characterized at one or more distances. The method further involves classifying regions of the scanning zone based on the density profile and the elevation profile.
Abstract:
A method includes receiving, at a computing system, audio data from one or more microphones associated with a vehicle. In one example, the audio data originates from a source external to the vehicle and the vehicle is configured to operate in an autonomous mode. The method also includes processing the audio data to generate directional data related to a direction of the source of the audio data relative to the vehicle and processing the audio data to generate identification data related to an identity of the source of the audio data. Further, the method includes controlling the vehicle in the autonomous mode in response to the directional data and the identification data, using the computing system.