Abstract: A method for delivering a plurality of packages is described. The method includes obtaining, via a processor, information associated with a delivery plan of the plurality of packages from at least one memory. Based on the information, the method includes determining, via the processor, a current location, and a destination location of a target container. In response to the determination, the method includes determining, via the processor, a movement plan to move the target container to the destination location. Based on the movement plan, the method includes activating, via the processor, a first set of motorized tiles to move the target container to the destination location. The method further includes receiving, via the processor, an updated movement plan from a server plan when a preset condition is met. Based on the updated movement plan, the method includes activating, via the processor, a second set of motorized tiles.

Abstract: Automated package translation apparatuses and methods are disclosed herein. An example apparatus can include a grid having a plurality of tiles, each of the plurality of tiles including translation members that are controlled by translation motors, the translation members providing movement of a bin in at least two directions, as well as gates that allow or prevent the bin from translating across a tile to an adjacent tile. The gates can be controlled by gate motors. A controller having a processor and memory, the processor executes instructions stored in the memory to activate the translation motors and the gate motors in a predetermined sequence to move the bin from a first tile to a second tile.

Abstract: The disclosure is generally directed to systems and methods for a reconfigurable on-board package sorting system for a delivery vehicle including an enclosed storage compartment with a horizontal plane, a plurality of bins for holding packages, each bin including a computer readable identifier, a set of correlated conveyor belts on each horizontal plane, the correlated conveyors belts sized as a function of the bins, including at conveyor belts linearly oriented on the horizontal plane, mixing conveyors, each oriented adjacent to each convey belt to provide directional transition to a next conveyor belt, wherein the correlated conveyor belts provide directional movement of the bins in a loop on the horizontal plane by selective rotation of each conveyor belt, and a computer including a processor and memory to receive data from each identifier, the processor including instructions to: identify a location of bin and direct the operation of the correlated conveyor belts.

Abstract: Systems and methods for administering a hazard condition warning during a package delivery operation are provided. The system includes one or more sensors, e.g., radar sensors or cameras, configured to detect a hazard condition in a vicinity of a delivery vehicle and to generate data indicative of the hazard condition. The system further includes an operator sensor configured to detect a location of an operator relative to the delivery vehicle and one or more indicators, e.g., lights, a mobile application installed on a mobile phone, or an HMI of the vehicle, configured to generate an alert corresponding to the hazard condition. A processor of the system may determine whether the hazard condition is present based on the data indicative of the hazard condition, and cause, based on a presence of the hazard condition and the detected location of the operator, the one or more indicators to generate the alert.

Abstract: The disclosure is generally directed to systems and methods for a reconfigurable on-board package sorting system for a delivery vehicle including an enclosed storage compartment with a horizontal plane, a plurality of bins for holding packages, each bin including a computer readable identifier, a set of correlated conveyor belts on each horizontal plane, the correlated conveyors belts sized as a function of the bins, including at conveyor belts linearly oriented on the horizontal plane, mixing conveyors, each oriented adjacent to each convey belt to provide directional transition to a next conveyor belt, wherein the correlated conveyor belts provide directional movement of the bins in a loop on the horizontal plane by selective rotation of each conveyor belt, and a computer including a processor and memory to receive data from each identifier, the processor including instructions to: identify a location of bin and direct the operation of the correlated conveyor belts.

Abstract: A nighttime delivery system is configured to provide delivery of packages during night hours, in low or no-light conditions using a multi-mode autonomous and remotely controllable delivery robot. The system involves the use of a baseline lighting system onboard the robot chassis, with variable light intensity from single flash and floodlighting, to thermal imaging using infrared cameras. The lighting system changes according to various environmental factors, and may utilize multi-mode lighting techniques to capture single-shot images with a flash light source to aid in the robot's perception when the vehicle is unable to navigate using infrared (IR) images.

Abstract: A method for controlling a package delivery sorting system onboard a vehicle includes loading, onboard a package sorting platform, a first package comprising a first fiducial marker, the package sorting platform disposed in a cargo hold of the package delivery vehicle, determining, via a processor, a package identity based on the first fiducial marker, determining, via the processor and based on the fiducial marker, a first package pose comprising a first package position and a first package orientation with respect to the package sorting platform, defining, via the processor, a first package geometry associated with the first package, and causing the sorting platform to position the first package, via the processor, to a second first package pose.

Abstract: A method for controlling a package delivery sorting system onboard a vehicle includes loading, onboard a package sorting platform, a first package comprising a first fiducial marker, the package sorting platform disposed in a cargo hold of the package delivery vehicle, determining, via a processor, a package identity based on the first, fiducial marker, determining, via the processor and based on the fiducial marker, a first package pose comprising a first package position and a first package orientation with respect to the package sorting platform, defining, via the processor, a first package geometry associated with the first package, and causing the sorting platform to position the first package, via the processor, to a second first package pose.

Abstract: Systems and methods for administering a hazard condition warning during a package delivery operation are provided. The system may include one or more sensors, e.g., radar sensors, ultrasonic sensors, or cameras, configured to detect a hazard condition in a vicinity of a delivery vehicle and to generate data indicative of the hazard condition. The system further includes an operator sensor configured to detect a location of an operator of the delivery vehicle relative to the delivery vehicle, and one or more indicators, e.g., lights, a mobile application installed on a mobile phone, or an HMI of the vehicle, configured to generate an alert corresponding to the hazard condition.

Abstract: A nighttime delivery system is configured to provide delivery of packages during night hours, in low or no-light conditions using a multi-mode autonomous and remotely controllable delivery robot. The system involves the use of a baseline lighting system onboard the robot chassis, with variable light intensity from single flash and floodlighting, to thermal imaging using infrared cameras. The lighting system changes according to various environmental factors, and may utilize multi-mode lighting techniques to capture single-shot images with a flash light source to aid in the robot's perception when the vehicle is unable to navigate using infrared (IR) images.

Abstract: A system comprises a computer including a processor and a memory. The memory storing instructions executable by the processor to cause the processor to determine a perception zone of interest, via a trained perception model, based on at least one of a vehicle parameter or planning data, wherein the vehicle parameter comprises at least one of a vehicle direction or a vehicle speed and the planning data comprises a route and trajectory to be traversed by the vehicle; determine a vehicle route and trajectory based on a subset of sensor data, wherein the subset of sensor data corresponds to the perception zone of interest; and operate the vehicle to traverse the vehicle route and trajectory.

Abstract: A method for identifying vehicle vibration includes receiving signals indicative of a vehicle vibration from one or more vehicle sensors while the vehicle is in operation. The method also includes determining a magnitude of the vehicle vibration at one or more target frequency bands. The method additionally includes determining whether the vehicle vibration is associated with one or more wheels of the vehicle based on the magnitude of the vehicle vibration at the one or more target frequency bands. The method further includes generating a diagnostic recommendation when the vehicle vibration is associated with the one or more wheels of the vehicle.

Abstract: A route learning system for a vehicle and a method of using the system is described. The method includes: in response to determining that a current location matches a historical location, retrieving from memory false alert geotag that includes historical path data; and based on determining that a currently-predicted path does not match the historical path, replacing the currently-predicted path with the historical path to mitigate a false warning to a driver of a host vehicle.

Abstract: A method for identifying vehicle vibration includes receiving signals indicative of a vehicle vibration from one or more vehicle sensors while the vehicle is in operation. The method also includes determining a magnitude of the vehicle vibration at one or more target frequency bands. The method additionally includes determining whether the vehicle vibration is associated with one or more wheels of the vehicle based on the magnitude of the vehicle vibration at the one or more target frequency bands. The method further includes generating a diagnostic recommendation when the vehicle vibration is associated with the one or more wheels of the vehicle.

Abstract: A system includes a processor configured to receive information relating to a vehicle location. The processor is also configured to determine one or more filters, based on the received information, for filtering out a plurality of non-specified locations from varied location types. Further, the processor is configured to apply filters for each varied location type to select a plurality of non-specified locations. The processor is also configured to calculate an estimated time of arrival (ETA), for each of the selected locations, and deliver the selected locations and the calculated ETAs to a vehicle.

Abstract: A vehicle system includes a driver identification fusion module programmed to receive a confidence level from a plurality of identification modules. Each confidence level indicates the likelihood that a driver of a vehicle is a particular person. The driver identification fusion module is programmed to aggregate the confidences levels received from the plurality of identification modules and output an aggregated confidence level signal representing an identity of the driver based at least in part on the confidence levels received from the plurality of identification modules.

Abstract: A system includes a processor configured to gather historical risk-affecting data with respect to a current road. The processor is also configured to gather current risk-affecting data with respect to the current road. Further, the processor is configured to generate a baseline risk index for the road based on the historical data.

Abstract: A vehicle system includes a driver identification fusion module programmed to receive a confidence level from a plurality of identification modules. Each confidence level indicates the likelihood that a driver of a vehicle is a particular person. The driver identification fusion module is programmed to aggregate the confidences levels received from the plurality of identification modules and output an aggregated confidence level signal representing an identity of the driver based at least in part on the confidence levels received from the plurality of identification modules.

Abstract: A system includes a processor configured to gather historical risk-affecting data with respect to a current road. The processor is also configured to gather current risk-affecting data with respect to the current road. Further, the processor is configured to generate a baseline risk index for the road based on the historical data.

Abstract: A system includes a processor configured to receive information relating to a vehicle location. The processor is also configured to determine one or more filters, based on the received information, for filtering out a plurality of non-specified locations from varied location types. Further, the processor is configured to apply filters for each varied location type to select a plurality of non-specified locations. The processor is also configured to calculate an estimated time of arrival (ETA), for each of the selected locations, and deliver the selected locations and the calculated ETAs to a vehicle.