Rite-hite Holding Corporation

Right-hite Holding Corporation

Ken Markham

Ryan P Beggs

David J Hoffmann

Kyle E Nelson

Matthew C McNeill

James C Boerger

Timothy Muhl

James Hibbert Oates

Jason Senfleben

Systems and methods to detect and warn proximate entities of interest are described herein. An example method includes sending an interrogation signal generated by a vehicle within a first area, detecting the interrogation signal from the first area, in response to detection of the interrogation signal from the first area, receiving a first responsive signal from a first transponder in the first area, and determining a directional resolution of the first responsive signal.

Methods and apparatus to detect and warn proximate entities of interest

Systems and methods to detect and warn proximate entities of interest are described herein. An example method includes determining threat levels for hazards in a plurality of different zones within a building, classifying the threat levels into at least one of a first threat level and a second threat level, designating a first zone of the plurality of different zones having the first threat level with a first detectable indicator, and designating a second zone having the second threat level with a second detectable indicator.

Systems and methods to detect and warn proximate entities of interest are described herein. An example hazard warning system for a forktruck includes a controllable light source to project light onto a floor adjacent the forktruck. A hazard discriminator determines when the forktruck poses a hazard to an entity of interest in a vicinity of the forktruck, and responsively generates a hazard output. A controller receives the hazard output and controls the light source such that the light source is in a first state when the hazard output is not received and a second state when the hazard output is received, where the first state is different than the second state.

Systems and methods to detect and warn proximate entities of interest are described herein. An example method for assessing a possibility of a collision between entities of interest, each having their own characteristics of movement, includes sampling movement of each entity at least two points in time, generating a trajectory vector for each entity based on the movement sampling, expanding the trajectory vector of each entity based on at least one characteristic of movement of that entity, and analyzing the expanded trajectory vector of each entity for overlap to assess a possibility of a collision between the entities of interest.

Systems and methods to detect and warn proximate entities of interest are described herein. An example detection system includes a light source attachable to a forktruck, where the light source projects an illuminated warning field on a floor on which the forktruck is to traverse. The light source projects the illuminated warning field at a distance from a front end of the forktruck. The light source is separate from a headlight of the forktruck.

Systems and methods to detect and warn proximate entities of interest are described herein. An example signal generation system for a vehicle capable of different modes of movement includes a detector to determine at least one property of vehicle movement and an output representative of that at least one property and a selectively variable signal generator includes an input to receive the at least one output representative of the at least one property of vehicle movement and, responsively, generates a selected signal based on the received output. In some examples, a detector on a pedestrian detects the selected signal from the signal generator and, responsively, provides an output indicative of a vehicle in proximity to the pedestrian. In some examples, a trajectory vector is generated for at least two entities of interest based on at least one characteristic of movement of each entity. Each entity's trajectory vector is expanded and each entity's expanded trajectory vector is analyzed for overlap with the other entity's expanded trajectory vector to assess the possibility of a collision between them.

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Lee's Summit, MO, United States of America

Ken Markham