Abstract: A system and method for operation of an autonomous vehicle (AV) yard truck is provided. A processor facilitates autonomous movement of the AV yard truck, and connection to and disconnection from trailers. A plurality of sensors are interconnected with the processor that sense terrain/objects and assist in automatically connecting/disconnecting trailers. A server, interconnected, wirelessly with the processor, that tracks movement of the truck around and determines locations for trailer connection and disconnection. A door station unlatches/opens rear doors of the trailer when adjacent thereto, securing them in an opened position via clamps, etc. The system computes a height of the trailer, and/or if landing gear of the trailer is on the ground and interoperates with the fifth wheel to change height, and whether docking is safe, allowing a user to take manual control, and optimum charge time(s). Reversing sensors/safety, automated chocking, and intermodal container organization are also provided.

Abstract: A system and method for operation of an autonomous vehicle (AV) yard truck is provided. A processor facilitates autonomous movement of the AV yard truck, and connection to and disconnection from trailers. A plurality of sensors are interconnected with the processor that sense terrain/objects and assist in automatically connecting/disconnecting trailers. A server, interconnected, wirelessly with the processor, that tracks movement of the truck around and determines locations for trailer connection and disconnection. A door station unlatches/opens rear doors of the trailer when adjacent thereto, securing them in an opened position via clamps, etc. The system computes a height of the trailer, and/or if landing gear of the trailer is on the ground and interoperates with the fifth wheel to change height, and whether docking is safe, allowing a user to take manual control, and optimum charge time(s). Reversing sensors/safety, automated chocking, and intermodal container organization are also provided.

Abstract: A robotic cargo system provides an ability to move cargo without requiring the use of additional material handling equipment such as forklifts and K-loaders. The robotic cargo system may operate as a vehicle during drive maneuvering, and may operate to lockdown on an aircraft as a pallet during flight. The system may navigate over rough terrain while carrying heavy loads through the use of a track-based propulsion system. The system may provide a cargo loading system, ramp ascent and descent algorithms, and autonomous navigation.

Abstract: A system for warning a driver of a cargo container transport vehicle to intervene in the case of an impending overhead collision with low clearance infrastructure. Examples of container/transport systems include but are not limited to a single-unit truck, a truck/semi-trailer combination or a vehicle pulling a hitched cargo container such as a camper, horse transporter, or moving container.

Abstract: A boundary detection apparatus is provided, including a laser emitter configured to emit at least a portion of a laser curtain in a plane aligned with a sports field boundary; and an imaging camera associated with the sports field boundary. The laser curtain provides a detectable indication on an object crossing the sports field boundary that is captured by the imaging camera.

Abstract: A robotic cargo system provides an ability to move cargo without requiring the use of additional material handling equipment such as forklifts and K-loaders. The robotic cargo system may operate as a vehicle during drive maneuvering, and may operate to lockdown on an aircraft as a pallet during flight. The system may navigate over rough terrain while carrying heavy loads through the use of a track-based propulsion system. The system may provide a cargo loading system, ramp ascent and descent algorithms, and autonomous navigation.

Abstract: A portable apparatus and method for distinguishing between different tissue types, such as normal tissue, necrotic tissue, and tumor tissue are provided, where the apparatus includes a housing and a plurality of Raman spectrometers disposed within the housing, each spectrometer having a different spectral region. A processor is provided in communication with the plurality of spectrometers, the processor analyzing output from the plurality of spectrometers to identify the tissue type of the tissue sample. A method of selecting the spectral regions which provide a desired combined classification accuracy for determining the tissue type is also provided.