Abstract: Systems, methods, and computer-readable media are provided for detecting whether an object is approaching an autonomous vehicle when a passenger is about to exit the autonomous vehicle, determining a speed and type of the object that is approaching the autonomous vehicle, determining whether the object will enter an exit zone when the passenger enters the exit zone based on the speed and the type of the object that is approaching the autonomous vehicle, and preventing the passenger from exiting the autonomous vehicle based on the determining of whether the object will enter the exit zone when the passenger enters the exit zone.

Abstract: Systems, methods, and computer-readable media are provided for detecting whether an object is approaching an autonomous vehicle when a passenger is about to exit the autonomous vehicle, determining a speed and type of the object that is approaching the autonomous vehicle, determining whether the object will enter an exit zone when the passenger enters the exit zone based on the speed and the type of the object that is approaching the autonomous vehicle, and preventing the passenger from exiting the autonomous vehicle based on the determining of whether the object will enter the exit zone when the passenger enters the exit zone.

Abstract: Systems, methods, and computer-readable media are provided for detecting whether an object is approaching an autonomous vehicle when a passenger is about to exit the autonomous vehicle, determining a speed and type of the object that is approaching the autonomous vehicle, determining whether the object will enter an exit zone when the passenger enters the exit zone based on the speed and the type of the object that is approaching the autonomous vehicle, and preventing the passenger from exiting the autonomous vehicle based on the determining of whether the object will enter the exit zone when the passenger enters the exit zone.

Abstract: Systems, methods, and computer-readable media are provided for detecting whether an object is approaching an autonomous vehicle when a passenger is about to exit the autonomous vehicle, determining a speed and type of the object that is approaching the autonomous vehicle, determining whether the object will enter an exit zone when the passenger enters the exit zone based on the speed and the type of the object that is approaching the autonomous vehicle, and preventing the passenger from exiting the autonomous vehicle based on the determining of whether the object will enter the exit zone when the passenger enters the exit zone.

Abstract: An autonomous vehicle is described herein. The autonomous vehicle comprises sensor systems that generate sensor signals and a computing system. The computing system generates an awareness graph based upon the sensor signals. The awareness graph comprises nodes connected by directed edges. The nodes include a first node assigned to a first maneuver that is to be executed by a vehicle in a vicinity of the autonomous vehicle and a second node assigned to a second maneuver that is to be executed by the autonomous vehicle. The directed edges include a directed edge that extends from the second node to the first node indicating that execution of the second maneuver is dependent upon execution of the first maneuver. The autonomous vehicle determines an ordering of the first maneuver and the second maneuver based on the awareness graph and executes the second maneuver in accordance with the ordering.

Abstract: Systems and method are provided for controlling a vehicle. In one embodiment, a method of predicting sensor information of an autonomous vehicle includes: receiving point cloud data sensed from an environment associated with the vehicle; processing, by a processor, point cloud data with a convolutional neural network (CNN) to produce a set of segmentations stored in a set of memory cells; processing, by the processor, the set of segmentations of the CNN with a recurrent neural network (RNN) to predict future point cloud data; processing, by the processor, the future point cloud data to determine an action; and controlling the vehicle based on the action.