Abstract: Systems and methods for detecting objects with autonomous light electric vehicles are provided. A computer-implemented method can include obtaining, by a computing system comprising one or more computing devices positioned onboard an autonomous light electric vehicle, image data from a camera located onboard the autonomous light electric vehicle. The computer-implemented method can further include determining, by the computing system, that the autonomous light electric vehicle has a likelihood of interacting with an object based at least in part on the image data. In response to determining that the autonomous light electric vehicle has the likelihood of interacting with the object, the computer-implemented method can further include determining, by the computing system, a control action to modify an operation of the autonomous light electric vehicle. The computer-implemented method can further include implementing, by the computing system, the control action.

Abstract: Two-dimensional and three-dimensional data of a physical scene are combined and analyzed together to identify physical objects physically present in the physical scene. Image features obtained from the two-dimensional data and geometric features obtained from the three-dimensional data are combined with one another such that corresponding image features are associated with corresponding geometric features. Automated object detection mechanisms are directed to the combination of image and geographic features and consider them together in identifying physical objects from the physical scene.

Abstract: Two-dimensional and three-dimensional data of a physical scene are combined and analyzed together to identify physical objects physically present in the physical scene. Image features obtained from the two-dimensional data and geometric features obtained from the three-dimensional data are combined with one another such that corresponding image features are associated with corresponding geometric features. Automated object detection mechanisms are directed to the combination of image and geographic features and consider them together in identifying physical objects from the physical scene.