A system and method for navigating an autonomous driving vehicle (ADV) that utilizes an-onboard computer and/or one or more ADV control system nodes in an ADV network platform. The on-board computer receives battery monitoring and management data concerning a battery stack. The on-board computer, utilizing a battery management system, determines the current state of charge (SOC) and other information concerning the battery stack and determines if the estimated total amount of electrical power required to navigate an ADV along a generated route to reach the predetermined destination is available. In response to determining that the ADV cannot reach the predetermined destination, the on-board computer automatically initiates a dynamic routing algorithm, which utilizes artificial intelligence, to generate alternative routes in an effort to find a route that the ADV can navigate to reach the destination utilizing the current state of charge (SOC) of the battery stack.

A ray is cast into a volume described by a volumetric data structure, which describes the volume at a plurality of levels of detail. A first entry in the volumetric data structure includes a first set of bits representing voxels at a lowest one of the plurality of levels of detail, and values of the first set of bits indicate whether a corresponding one of the voxels is at least partially occupied by respective geometry. A set of second entries in the volumetric data structure describe voxels at a second level of detail, which represent subvolumes of the voxels at the first lowest level of detail. The ray is determined to pass through a particular subset of the voxels at the first level of detail and at least a particular one of the particular subset of voxels is determined to be occupied by geometry.

An electronic system and method controls automatic or semi-automatic docking of a vehicle with a given docking area, applicable, in particular, to the docking of an airport vehicle, such as a baggage belt loader, a catering vehicle, etc., to the fuselage of an aircraft, for example to the door of such an aircraft. The given docking area comprises at least one target. The system includes first determination device configured to determine the position of the docking area by determining the type of target from a set of given types and its position, second determination device configured to determine a guide path for guiding the vehicle towards the given docking area depending on the position of the docking area, and third determination device configured to determine the type of docking destination, the second determination device being capable of determining one or more exclusion areas depending on the type of docking destination, by comparing the type of docking destination with types of docking destination, stored in a database in association with exclusion areas, such that the guide path for guiding the vehicle towards the given docking area does not pass into any of the exclusion areas.

An electronic system and method controls automatic or semi-automatic docking of a vehicle with a given docking area, applicable, in particular, to the docking of an airport vehicle, such as a baggage belt loader, a catering vehicle, etc., to the fuselage of an aircraft, for example to the door of such an aircraft. The given docking area comprises at least one target. The system includes first determination device configured to determine the position of the docking area by determining the type of target from a set of given types and its position, second determination device configured to determine a guide path for guiding the vehicle towards the given docking area depending on the position of the docking area, and third determination device configured to determine the type of docking destination, the second determination device being capable of determining one or more exclusion areas depending on the type of docking destination, by comparing the type of docking destination with types of docking destination, stored in a database in association with exclusion areas, such that the guide path for guiding the vehicle towards the given docking area does not pass into any of the exclusion areas.

A method for operating a system with a first automatically moving floor processing device and a second automatically moving floor processing device in which the first floor processing device detects environmental features in an environment of the first floor processing device. The first floor processing device or a shared computing device allocated to both the processing devices generates a first area map based on the detected environmental features, and the first floor processing device also detects the second floor processing device, and the position of the second floor processing device is thereupon stored within the generated first area map. The second floor processing device receives information about a current position of the second floor processing device within the first area map, and controls a second floor processing activity as soon as the first floor processing device has detected the second floor processing device.

A method for operating a system with a first automatically moving floor processing device and a second automatically moving floor processing device in which the first floor processing device detects environmental features in an environment of the first floor processing device. The first floor processing device or a shared computing device allocated to both the processing devices generates a first area map based on the detected environmental features, and the first floor processing device also detects the second floor processing device, and the position of the second floor processing device is thereupon stored within the generated first area map. The second floor processing device receives information about a current position of the second floor processing device within the first area map, and controls a second floor processing activity as soon as the first floor processing device has detected the second floor processing device.

A method for operating a higher-level automated vehicle (HAV), in particular a highly automated vehicle, is provided, including: S1 for providing a digital map, which may be a highly accurate digital map, in a driver assistance system of the HAV; S2 for determining an instantaneous vehicle position and localizing the vehicle position in the digital map; S3 for providing an expected setpoint traffic density at the vehicle position; S4 for ascertaining an instantaneous actual traffic density in the surroundings of the HAV; S5 for comparing the actual traffic density to the setpoint traffic density and ascertaining a difference value as the result of the comparison; S6 for checking the vehicle position of the HAV for plausibility at least partially based on the difference value and/or S7 for updating the digital map at least partially based on the difference value. Also described are a corresponding driver assistance system and a computer program.

A method for operating a higher-level automated vehicle (HAV), in particular a highly automated vehicle, is provided, including: S1 for providing a digital map, which may be a highly accurate digital map, in a driver assistance system of the HAV; S2 for determining an instantaneous vehicle position and localizing the vehicle position in the digital map; S3 for providing an expected setpoint traffic density at the vehicle position; S4 for ascertaining an instantaneous actual traffic density in the surroundings of the HAV; S5 for comparing the actual traffic density to the setpoint traffic density and ascertaining a difference value as the result of the comparison; S6 for checking the vehicle position of the HAV for plausibility at least partially based on the difference value and/or S7 for updating the digital map at least partially based on the difference value. Also described are a corresponding driver assistance system and a computer program.

Provided are a detection device and a control device of a lifting platform thereof, wherein the control device is used for controlling the lifting platform of the detection device, wherein the control device comprises a first distance measuring sensor arranged on the top of the detection device; a first processor connected with the first distance measuring sensor and used for obtaining a first distance measurement instruction and controlling the first distance measuring sensor to measure a first distance between the top of the detection device and an obstacle directly above the detection device according to the first distance measurement instruction; the first processor is further used for obtaining the first distance sent by the first distance measuring sensor, generating an elevation instruction according to the first distance, and controlling a lifting motor of the detection device to drive the lifting platform to rise to the target position.

An agricultural work assistance system includes a display to display a map representing an agricultural field, and a controller configured or programmed to define or function as an area setter to set a first area and a second area located inward of the first area in the map displayed by the display, and a route creator to create, in at least one of the first area or the second area, a travel route along which an agricultural machine is to travel. The route creator is configured or programmed to set at least a portion of the travel route as an automatic steering route on which the agricultural machine is to be automatically steered and a travel speed of the agricultural machine is to be changed manually.