Abstract: Systems, methods, and non-transitory computer-readable media can determine a road segment. A set of features associated with the road segment can be determined based at least in part on data captured by one or more sensors of a vehicle. A level of similarity between the road segment and each of a set of road segment types can be determined by comparing the set of features to features associated with each of the set of road segment types. The road segment can be classified as a road segment type based on the level of similarity. Scenario information associated with the road segment can be determined based on the classified road segment type.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a road segment. A set of features associated with the road segment can be determined based at least in part on data captured by one or more sensors of a vehicle. A level of similarity between the road segment and each of a set of road segment types can be determined by comparing the set of features to features associated with each of the set of road segment types. The road segment can be classified as a road segment type based on the level of similarity. Scenario information associated with the road segment can be determined based on the classified road segment type.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a road segment. A set of features associated with the road segment can be determined based at least in part on data captured by one or more sensors of a vehicle. A level of similarity between the road segment and each of a set of road segment types can be determined by comparing the set of features to features associated with each of the set of road segment types. The road segment can be classified as a road segment type based on the level of similarity. Scenario information associated with the road segment can be determined based on the classified road segment type.

Abstract: In one embodiment, a method includes receiving data from one or more sensors associated with a vehicle; and receiving a message from a first processor. The message from the first processor includes a first control command for an actuator of the vehicle and a first certificate function. The method also includes receiving a message from the second processor. The message from the second processor includes a second control command for the actuator of the vehicle and a second certificate function. The method also includes computing a first certificate based on the first certificate function and the data; computing a second certificate based on the second certificate function and the data; determining a valid control signal based on an accuracy of the first second control command and second control command relative the first certificate and second certificate; and transmitting the valid control signal to the actuator of the vehicle.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a set of features associated with a road segment based at least in part on data captured by one or more sensors of a vehicle. At least one scenario that is associated with the set of features can be determined. The at least one scenario can be associated with the road segment. The associated at least one scenario and the road segment can be maintained in a scenario information database.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a road segment. A set of features associated with the road segment can be determined based at least in part on data captured by one or more sensors of a vehicle. A level of similarity between the road segment and each of a set of road segment types can be determined by comparing the set of features to features associated with each of the set of road segment types. The road segment can be classified as a road segment type based on the level of similarity. Scenario information associated with the road segment can be determined based on the classified road segment type.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a set of features associated with a road segment based at least in part on data captured by one or more sensors of a vehicle. At least one scenario that is associated with the set of features can be determined. The at least one scenario can be associated with the road segment. The associated at least one scenario and the road segment can be maintained in a scenario information database.

Abstract: Systems, methods, and non-transitory computer-readable media can determine a road segment. A set of features associated with the road segment can be determined based at least in part on data captured by one or more sensors of a vehicle. A level of similarity between the road segment and each of a set of road segment types can be determined by comparing the set of features to features associated with each of the set of road segment types. The road segment can be classified as a road segment type based on the level of similarity. Scenario information associated with the road segment can be determined based on the classified road segment type.

Abstract: In one embodiment, a method includes receiving data from one or more sensors associated with a vehicle; and receiving a message from a first processor. The message from the first processor includes a first control command for an actuator of the vehicle and a first certificate function. The method also includes receiving a message from the second processor. The message from the second processor includes a second control command for the actuator of the vehicle and a second certificate function. The method also includes computing a first certificate based on the first certificate function and the data; computing a second certificate based on the second certificate function and the data; determining a valid control signal based on an accuracy of the first second control command and second control command relative the first certificate and second certificate; and transmitting the valid control signal to the actuator of the vehicle.

Abstract: In one embodiment, a method includes receiving data from one or more sensors associated with a vehicle; and receiving a message from a first processor. The message from the first processor includes a first control command for an actuator of the vehicle and a first certificate function. The method also includes receiving a message from the second processor. The message from the second processor includes a second control command for the actuator of the vehicle and a second certificate function. The method also includes computing a first certificate based on the first certificate function and the data; computing a second certificate based on the second certificate function and the data; determining a valid control signal based on an accuracy of the first second control command and second control command relative the first certificate and second certificate; and transmitting the valid control signal to the actuator of the vehicle.

Abstract: In one embodiment, a method includes receiving data from one or more sensors associated with a vehicle; and receiving a message from a first processor. The message from the first processor includes a first control command for an actuator of the vehicle and a first certificate function. The method also includes receiving a message from the second processor. The message from the second processor includes a second control command for the actuator of the vehicle and a second certificate function. The method also includes computing a first certificate based on the first certificate function and the data; computing a second certificate based on the second certificate function and the data; determining a valid control signal based on an accuracy of the first second control command and second control command relative the first certificate and second certificate; and transmitting the valid control signal to the actuator of the vehicle.