Abstract: Among other things, systems and methods for classifying perceived objects based on activity are disclosed. The systems and methods can include means for receiving sensor information corresponding to at least one object and determining an activity prediction for the at least one object in accordance with the sensor information. The system and methods can include means for classifying the object in accordance with the activity prediction. A controller circuit can operate control functions of a vehicle at least partially based on the classification of the at least one object.

Abstract: Among other things, we describe techniques for adjusting lateral clearance for a vehicle using a multi-dimensional envelope. A trajectory is generated for the vehicle. A multi-dimensional envelope is generated indicating a drivable region for the vehicle and containing the trajectory. One or more objects are identified located along or adjacent to the trajectory. At least one dimension of the generated multi-dimensional envelope is adjusted to adjust a lateral clearance between the vehicle and the identified one or more objects. A control module of the vehicle navigates the vehicle along the multi-dimensional envelope.

Abstract: A computer-based method controls a dynamical system in an uncertain environment within a bounded probability of failure. The dynamical system has a state space and a control space. The method includes diffusing a risk constraint corresponding to the bounded probability of failure into a martingale that represents a level of risk tolerance associated with the dynamical system over time. The state space and the control space of the dynamical system are augmented with the martingale to create an augmented model with an augmented state space and an augmented control space. The method may include iteratively constructing one or more Markov Decision Processes (MDPs), with each iterative MDP represents an incrementally refined model of the dynamical system. The method further includes computing a first solution based on the augmented model or, if additional time was available, based on one of the MDP iterations.

Abstract: A method and system for managing carrier vessel information are provided. A carrier path and shipment planning system receives carrier information associated with individual carrier vessels from a plurality of carrier information sources. Based on the carrier information the carrier path and shipment planning system processes the carrier information to form complete path scenarios. The carrier path and shipment planning system associates control rules to the complete path scenarios to determine one or more candidate paths. The carrier path and shipment planning system can then generate various interfaces for identifying selected, ranked paths, information associated with a competitive marketplace and availability information for contracting for cargo shipment. A user can then further manipulate the user interfaces for scenario planning or filtering available selections.

Abstract: A computer-based method controls a dynamical system in an uncertain environment within a bounded probability of failure. The dynamical system has a state space and a control space. The method includes diffusing a risk constraint corresponding to the bounded probability of failure into a martingale that represents a level of risk tolerance associated with the dynamical system over time. The state space and the control space of the dynamical system are augmented with the martingale to create an augmented model with an augmented state space and an augmented control space. The method may include iteratively constructing one or more Markov Decision Processes (MDPs), with each iterative MDP represents an incrementally refined model of the dynamical system. The method further includes computing a first solution based on the augmented model or, if additional time was available, based on one of the MDP iterations.

Abstract: Among other things, a model is maintained of an environment of a vehicle. A hypothetical object in the environment that cannot be perceived by sensors of the vehicle is included in the model.

Abstract: Among other things, a world model is maintained of an environment of a vehicle. A hypothetical object in the environment that cannot be perceived by sensors of the vehicle is included in the world model.

Abstract: Among other things, a world model is maintained of an environment of a vehicle. A hypothetical object in the environment that cannot be perceived by sensors of the vehicle is included in the world model.

Abstract: Among other things, planning a motion of a machine having moving capabilities is based on strategic guidelines derived from various basic principles, such as laws, ethics, preferences, driving experiences, and road environments.

Abstract: Among other things, planning a motion of a machine having moving capabilities is based on strategic guidelines derived from various basic principles, such as laws, ethics, preferences, driving experiences, and road environments.

Abstract: Among other things, planning a motion of a machine having moving capabilities is based on strategic guidelines derived from various basic principles, such as laws, ethics, preferences, driving experiences, and road environments.

Abstract: Among other things, planning a motion of a machine having moving capabilities is based on strategic guidelines derived from various basic principles, such as laws, ethics, preferences, driving experiences, and road environments.

Abstract: Among other things, a vehicle having autonomous driving capabilities is operated in a mixed driving mode.

Abstract: Among other things, a vehicle having autonomous driving capabilities is operated in a mixed driving mode.

Abstract: Among other things, a vehicle having autonomous driving capabilities is operated in a mixed driving mode.

Abstract: Among other things, a vehicle having autonomous driving capabilities is operated in a mixed driving mode.

Abstract: Among other things, a vehicle having autonomous driving capabilities is operated in a mixed driving mode.

Abstract: Among other things, a vehicle having autonomous driving capabilities is operated in a mixed driving mode.

Abstract: Among other things, a world model is maintained of an environment of a vehicle. A hypothetical object in the environment that cannot be perceived by sensors of the vehicle is included in the world model.

Abstract: Among other things, a world model is maintained of an environment of a vehicle. A hypothetical object in the environment that cannot be perceived by sensors of the vehicle is included in the world model.