Abstract: A system for providing drive out guidance for a vehicle is provided. The system includes sensors disposed around a drive out location of an environment. The drive out location includes an obstructed view area of the environment for the vehicle at a distance offset from the drive out location. The obstructed view area of the environment is within a field-of-view of the one or more sensors. A processing device is configured to acquire sensor data from the sensors representative of the obstructed view area of the environment, determine from the sensor data if the environment in the obstructed view area is clear from one or more objects, and transmit to at least one of the vehicle or an output source a signal indicative of if the environment in the obstructed view area is clear from the one or more objects.

Abstract: The invention concerns an assembly (1) for battery holder comprising a first structural element (10), a second structural element (20), an interior junction organ (30), an exterior junction organ (40), and adhesive agents (50); the interior junction organ (30) and the exterior junction organ (40) securing the first structural element (10) with the second structural element (20) via the adhesive agents (50) at the level of a first end portion (11) of the first structural element (10) and at the level of a second end portion (21) of the second structural element (20).

Abstract: A computer-implemented method of cargo theft management for an autonomous vehicle includes receiving sensor data from one or more sensors of an autonomous vehicle. The computer-implemented method of cargo theft management for an autonomous vehicle also includes determining a theft condition is present by evaluating the sensor data based on a database of theft conditions. Furthermore, the computer-implemented method also includes sending sensor data related to the theft condition to a mission control computing device, where the mission control computing device is a cloud-based computing device. Additionally, the computer-implemented method also includes determining at least one theft response action based on the theft condition. Also, the computer-implemented method includes executing, via the autonomous vehicle, the at least one theft response action.

Abstract: A system for vehicle route planning is provided. The system includes a database configured to electronically store crime data, and a route planning unit configured to generate a route for a vehicle. The system includes a processing device configured to execute instructions stored in a memory to perform operations including receiving as input at the route planning unit a starting location for the vehicle and an ending location for the vehicle. The operations include analyzing the crime data to determine instances of crime occurring between the starting location and the ending location. The system includes generating a planned route for the vehicle from the starting location to the ending location based on the analyzed crime data.

Abstract: A system for vehicle route planning is provided. The system includes a database configured to electronically store crime data, and a route planning unit configured to generate a route for a vehicle. The system includes a processing device configured to execute instructions stored in a memory to perform operations including receiving as input at the route planning unit a starting location for the vehicle and an ending location for the vehicle. The operations include analyzing the crime data to determine instances of crime occurring between the starting location and the ending location. The system includes generating a planned route for the vehicle from the starting location to the ending location based on the analyzed crime data.

Abstract: An emergency alerting system for processing an emergency condition is provided. The system includes an automotive vehicle includes at least one sensor disposed on the automotive vehicle. The system further includes a vehicle emergency alerting computing device. The vehicle emergency alerting computing device is programmed to detect, using a machine learning model, an emergency condition based on sensor data of the at least one sensor, and upload sensor data associated with the emergency condition to a remote emergency alerting computing device. The system further includes a remote emergency alerting computing device positioned remotely from the automotive vehicle, the remote emergency alerting computing device programmed to receive the sensor data associated with the emergency condition, analyze the emergency condition, and initiate a response action based on the analysis.

Abstract: A system for trailer dimension estimation is provided. The system includes one or more sensors associated with a vehicle, the one or more sensors each having a field-of-view. The vehicle configured to couple with a trailer. The system includes a processing device configured to execute instructions stored in a memory to perform operations including, when the trailer is coupled with the vehicle, determining if a first edge or a first point of the trailer is detected within the field-of-view of the one or more sensors. If the first edge or the first point of the trailer is detected within the field-of-view of the one or more sensors, the operations include estimating a dimension of the trailer based on a signal from the one or more sensors.

Abstract: A system for vehicle parking compliance is provided. The system includes one or more sensors associated with a vehicle. The one or more sensors are configured to detect an environment surrounding the vehicle. The system includes a processing device in communication with the one or more sensors. The processing device is configured to execute instructions stored in a memory to perform operations that include generating a map of the environment based on signals received from the one or more sensors, identifying a space within the environment capable of accommodating the vehicle during a parking operation, and determining if in a parked position in the space, the vehicle violates one or more vehicle parking regulations.

Abstract: A computer-implemented method of cargo theft management for an autonomous vehicle includes receiving sensor data from one or more sensors of an autonomous vehicle. The computer-implemented method of cargo theft management for an autonomous vehicle also includes determining a theft condition is present by evaluating the sensor data based on a database of theft conditions. Furthermore, the computer-implemented method also includes sending sensor data related to the theft condition to a mission control computing device, where the mission control computing device is a cloud-based computing device. Additionally, the computer-implemented method also includes determining at least one theft response action based on the theft condition. Also, the computer-implemented method includes executing, via the autonomous vehicle, the at least one theft response action.

Abstract: Methods, apparatus, and articles of manufacture to generate a turn path for a vehicle are disclosed. An example apparatus disclosed herein includes input interface circuitry to obtain a guidance path for a vehicle, turn identification circuitry to identify a turn in the guidance path, and turn pattern selection circuitry to select, from a plurality of predetermined turn patterns, a turn pattern for the turn, wherein the turn pattern satisfies a condition.

Abstract: Systems and methods are provided for guidance and/or automation of work vehicles operating within defined work areas. Initially, a first (e.g., figure eight) turn type is selected at least to transition between first and second parallel paths across the work area for reciprocal traverse thereof, further for optimizing a footprint with respect to at least an alternative second (e.g., U-turn) turn type. Responsive to said selection, a first turn plan is generated along with associated output signals for the first turn type relative to contours of the defined work area. Sequence points for the turn may be generated based on determined work coverage. If the work vehicle is determined unable to complete the generated first turn plan for the first turn type, based on detected work vehicle conditions relative to contours of the work area, a second turn plan is instead automatically generated and performed for the second turn type.

Abstract: Methods, apparatus, and articles of manufacture to generate a turn path for a vehicle are disclosed. An example apparatus disclosed herein includes input interface circuitry to obtain a guidance path for a vehicle, turn identification circuitry to identify a turn in the guidance path, and turn pattern selection circuitry to select, from a plurality of predetermined turn patterns, a turn pattern for the turn, wherein the turn pattern satisfies a condition.

Abstract: Systems and methods are provided for guidance and/or automation of work vehicles operating within defined work areas. Initially, a first (e.g., figure eight) turn type is selected at least to transition between first and second parallel paths across the work area for reciprocal traverse thereof, further for optimizing a footprint with respect to at least an alternative second (e.g., U-turn) turn type. Responsive to said selection, a first turn plan is generated along with associated output signals for the first turn type relative to contours of the defined work area. Sequence points for the turn may be generated based on determined work coverage. If the work vehicle is determined unable to complete the generated first turn plan for the first turn type, based on detected work vehicle conditions relative to contours of the work area, a second turn plan is instead automatically generated and performed for the second turn type.

Abstract: Methods, apparatus, and articles of manufacture to generate a turn path for a vehicle are disclosed. An example apparatus disclosed herein includes input interface circuitry to obtain a guidance path for a vehicle, turn identification circuitry to identify a turn in the guidance path, and turn pattern selection circuitry to select, from a plurality of predetermined turn patterns, a turn pattern for the turn, wherein the turn pattern satisfies a condition.