Abstract: A locking system for an autonomous vehicle, the autonomous vehicle includes a cabin. The locking system includes a first locking system configured to assess access to the cabin, and a second locking system configured to assess access to the use of one or more autonomous vehicle features located in the cabin. The second locking system is engaged with after the first locking system completes the assessment of access to the cabin.

Abstract: Embodiments herein include an oversized automated vehicle having a trailer portion and tractor portion performing a J-hook turn at an intersection. The automated vehicle includes an autonomy system for gathering and processing various types of data. The autonomy system generates a candidate trajectory, including the trailer path and the tractor path performing a J-hook turn, and generates driving instructions for the automated vehicle according to a satisfactory candidate trajectory. The autonomy system applies an optimization function for iteratively generating and modifying the candidate trajectory. Using the map data for the intersection, the optimization function modifies the candidate trajectory, such that if the tractor or the trailer were to drive along the predicted tractor path and trailer path, then the tractor and the trailer would perform the J-hook turn while fitting within the drivable surface boundary and inner boundaries (e.g., driving lanes).

Abstract: Systems and method for detecting a law enforcement vehicle. The system includes a sensor disposed on the autonomous vehicle. The sensor is configured to capture sensor data representing a road and an environment in which the autonomous vehicle is operating. The sensor data includes operational data and ancillary data. The system further includes an autonomy computing system comprising a processor and a memory. The autonomy computing system is configured to process the sensor data to segment the operational data and the ancillary data, operate the autonomous vehicle based on the operational data, identify an object in the ancillary data, correlate the object to a law enforcement vehicle, and modify operation of the autonomous vehicle for an enforcement zone associated with the law enforcement vehicle.

Abstract: An autonomy computing system of an autonomous vehicle for controlling quality in planning a trajectory of the autonomous vehicle is provided. The at least one processor of the autonomy computing system is programmed to process sensor data received from one or more sensors of an autonomous vehicle, and generate a trajectory of the autonomous vehicle based on the sensor data and a plurality of rules. At least one of the plurality of rules corresponds to at least one of a plurality of costs. The at least one processor is further programmed to generate a log of violations of the plurality of rules at one or more nodes along the trajectory, and transmit the log over a wireless communication channel to a remote computing device. The log includes explanations of the violations in a human readable language.

Abstract: Embodiments herein include an oversized automated vehicle having a trailer portion and tractor portion performing a J-hook turn at an intersection. The automated vehicle includes an autonomy system for gathering and processing various types of data. The autonomy system generates a candidate trajectory, including the trailer path and the tractor path performing a J-hook turn, and generates driving instructions for the automated vehicle according to a satisfactory candidate trajectory. The autonomy system applies an optimization function for iteratively generating and modifying the candidate trajectory. Using the map data for the intersection, the optimization function modifies the candidate trajectory, such that if the tractor or the trailer were to drive along the predicted tractor path and trailer path, then the tractor and the trailer would perform the J-hook turn while fitting within the drivable surface boundary and inner boundaries (e.g., driving lanes).

Abstract: An autonomous vehicle including one or more sensors positioned on a body of the autonomous vehicle, at least one processor, and at least one memory storing instructions is disclosed. The instructions, when executed by the at least one processor, configure the at least one processor to: (i) receive sensor data from the one or more sensors; (ii) determine, from the sensor data, presence of an emergency situation and absence of an emergency vehicle at a site of the emergency situation; (iii) in accordance with the determining, trigger a first responder mode of the autonomous vehicle; and (iv) initiate one or more actions to assist or protect people or a property at the site of the emergency situation.

Abstract: An autonomous vehicle includes an autonomy computing system and an exterior surface displaying an indicium. The autonomy computing system includes an incentivized behavior module. The autonomy computing system further includes at least one processor and at least one memory. The processor is configured to establish communication between a client device of a user and the autonomous vehicle using the indicium. The processor is configured to receive, at least one request from the client device, the at least one request including a desired action of the autonomous vehicle. The processor is configured to initiate execution of the desired action. The processor is configured to communicate to the client device whether the autonomous vehicle will complete the requested action.

Abstract: A method for detecting and reporting fires by an autonomous vehicle. The method includes receiving, from one or more sensors, at least one sensor signal representing one or more fire-related conditions surrounding the autonomous vehicle, and identifying one or more fire-indicative conditions surrounding the autonomous vehicle based on the one or more fire-related conditions. The method also includes generating a fire detection signal based at least on the one or more fire-indicative conditions, a location of the one or more fire-indicative conditions, and a location of the autonomous vehicle, and transmitting the fire detection signal to an external receiver.

Abstract: Systems and methods for guiding an autonomous vehicle through known and unknown environments by following a remote vehicle are disclosed. An autonomous vehicle in accordance with the present disclosure comprises a computing system including a processor, a memory device, and at least one sensor configured to receive signals from a remote vehicle. The processor is programmed to receive a message to follow a remote vehicle, the follow instruction message including at least one identifier. The processor is further programmed to detect the remote vehicle, confirm the identity of the remote vehicle using the at least one identifier, and then establish a communication link with the remote vehicle. Once the at least one processor determines that the remote vehicle is aligned with the autonomous vehicle, the at least one processor may transmit one or more instructions which cause the autonomous vehicle to follow the remote vehicle.

Abstract: Embodiments herein include an oversized automated vehicle having a trailer portion and tractor portion performing a J-hook turn at an intersection. The automated vehicle includes an autonomy system for gathering and processing various types of data. The autonomy system generates a candidate trajectory, including the trailer path and the tractor path performing a J-hook turn, and generates driving instructions for the automated vehicle according to a satisfactory candidate trajectory. The autonomy system applies an optimization function for iteratively generating and modifying the candidate trajectory. Using the map data for the intersection, the optimization function modifies the candidate trajectory, such that if the tractor or the trailer were to drive along the predicted tractor path and trailer path, then the tractor and the trailer would perform the J-hook turn while fitting within the drivable surface boundary and inner boundaries (e.g., driving lanes).