Abstract: A tractor has a processor and memory storing machine-readable instructions that, when executed by the processor, cause the processor to: select at least one image captured by a camera of a parking spot being passed by the tractor when a point-of-interest (POI) of the parking spot is most centered within a field of view of the camera, store the image in the memory in association with the parking spot, determine that the parking spot is occupied after a costmap for the parking spot is populated by the LIDAR, retrieve the image corresponding to the parking spot from the memory, determine, from the image, a trailer identifier of a trailer parked in the parking spot; and send a message defining the parking spot and the trailer identifier to an inventory service for use in updating a yard inventory.

Abstract: A vehicle includes a main body, a steerable wheel, a steering, a steering actuator, and an electronic controller. The main body includes a saddle. The steerable wheel is coupled to the main body via a suspension. The steering is turnably coupled to the main body to steer the steerable wheel. The steering actuator is configured to apply steering torque to the steerable wheel. The electronic controller is configured to control the steering torque using the steering actuator and configured to generate steering damper torque to the steerable wheel using the steering actuator upon determining a reduced contact of the steerable wheel with a traveling surface with respect to a first prescribed threshold.

Abstract: Systems and methods are provided to enhance the driving performance of a leanable vehicle such as a motorcycle. The system includes a leanable vehicle interface to receive input from a driver (e.g., a human or a robotic driver) and a sensor interface to receive inputs from sensors on the leanable vehicle. The system also includes a computing module to use the sensor data in combination with data from the leanable vehicle interface to calculate the driver behavior to produce a future desired performance, based on a specified aggressiveness, so that the performance of the leanable vehicle is optimized. The calculation may be done using a machine learning method, a rule based method, or both.

Abstract: A heat exchanger suitable for long term use in the unfiltered hot exhaust gas of an aluminum smelter is disclosed. In one embodiment, the heat exchanger comprises fluid carrying tubes connected together with web members to form a cylindrical shell. A header located at each end of the cylindrical shell is provided for feeding fluid to and from the tubes of the heat exchanger. Shrouds can be placed over the headers to affect hot gas turbulence and help minimize scaling. The surfaces of the cylindrical shell, when in un-scrubbed exhaust gas of an aluminum smelter, will be in contact with particles and/or dust and possibly caustic fumes and, therefore, may be treated with a relevant slip coating selected, for example, from the Teflon family.