Abstract: A heads-up display system for a vehicle includes a display area on a surface of the vehicle and an optical projection unit for projecting graphic elements to the display area. An electronic control unit is operatively connected for computer communication to the optical projection unit. The electronic control unit determines a perspective view of a real road scene from a user while the user views the real road scene through the display area based on a ride height of the vehicle and an eyepoint of the user. The electronic control unit identifies road features that are visible to the user in the perspective view of the real road scene and adjusts a virtual image having inclined content based on the road features so that the inclined content substantially matches the perspective of the real road scene. Further, the electronic control unit controls the optical projection unit to project the virtual image to the display area.

Abstract: A cargo lift system employs multiple unmanned lift vehicles acting as vertical lift generating machines. An autonomous control system controls coordinated movements of the cooperating unmanned vertical lift generating machines. A coupling system connects the cargo load to each of the plurality of unmanned vertical lift generating machines. The plurality of unmanned vertical lift generating machines are separated from each other by a distance through spacing by individual onboard flight computers in the lift generating machines or by rigid or semi-rigid connections between the lift generating machines.

Abstract: Automatic classification is applied in two stages: classification and ranking. In the first stage, a categorization engine classifies incoming documents to topics. A document may be classified to a single topic or multiple topics or no topics. For each topic, a raw score is generated for a document and that raw score is used to determine whether the document should be at least preliminarily classified to the topic. In the second stage, for each document assigned to a topic (i.e., for each document-topic association) the categorization engine generates confidence scores expressing how confident the algorithm is in this assignment. The confidence score of the assigned document is compared to the topic's (configurable) threshold. If the confidence score is higher than this configurable threshold, the document is placed in the topic's Published list. If not, the document is placed in the topic's Proposed list, where it awaits approval by a knowledge management expert.